Snowflake

Snowflake Developer Jobs

220 jobs found

1d ago

Data Engineer

CGI Group, Inc. Cary, NC

Cary, NC

1d ago

$92k - $161k/yr Full time Backend Developer Aws Data Engineer Big Data

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Job Description

CGI Group, Inc. is seeking an experienced Data Engineer to help design and build external-facing API solutions while delivering reliable data movement in AWS environments. This onsite role is based in Cary, NC and centers on hands-on ETL and batch processing using Spring Batch and Apache Spark on AWS EMR.

The role involves creating and operating batch data pipelines, developing client integrations for REST and SOAP services, and supporting squads that build and maintain applications in the cloud. You will also help guide architecture decisions to keep systems scalable, resilient, and extensible.

What you will do

Design, develop, test, deploy, and maintain ETL batch jobs using Spring Batch and Apache Spark on EMR
Schedule, monitor, and debug ETL batch jobs across Spring Batch and Spark workflows
Build Java clients to consume REST and SOAP APIs, and develop Scala Spark batch applications
Use Apache Spark to process large-scale data and write results to NoSQL databases including Cassandra or Yugabyte
Build and deploy solutions on AWS cloud infrastructure
Provide technical support to squads building, deploying, and maintaining applications in AWS
Work across multiple development workstreams while helping ensure scalable, resilient, extensible architectures
Ensure technology decisions align with Fidelity’s architecture standards and strategies
Evaluate and recommend technologies and frameworks for flexibility, long-term viability, and time to market
Collaborate with peers through code reviews, pair programming, and daily discussions across multiple squads

What you bring

Bachelor’s degree in Computer Science, Information Systems, or a related field, with a proven track record in data engineering
6+ years of software development experience
6+ years developing Spark or Spring Batch services for data movement
Hands-on experience scheduling, monitoring, and debugging ETL Spring Batch and Spark batch jobs
Hands-on experience building Java clients consuming REST and SOAP APIs, plus Scala Spark batch applications
Experience developing, testing, deploying, and maintaining ETL batch jobs using Spring Batch and Apache Spark/EMR
Experience using Apache Spark to process big data and write to NoSQL databases such as Cassandra or Yugabyte
Proven experience building and deploying software solutions on public cloud providers such as AWS
Strong understanding of the software development lifecycle (analysis, design, coding, testing, problem resolution, planning)
Strong collaboration and communication skills across multiple squads, with the ability to adapt to change
Experience with cloud-based data warehousing and data lake solutions such as Snowflake
Experience with data storage and management for large datasets (for example, Parquet and HDF5)

Tools and technologies

Spring Batch
Apache Spark and Spark SQL
EMR, AWS
Java, Scala
REST, SOAP
NoSQL (including Cassandra and Yugabyte)
Snowflake, Parquet, HDF5

Compensation and location

Location: Cary, NC (onsite)
Salary: USD 91,800 - 160,700 per year

Benefits

Competitive compensation
Comprehensive insurance options
Matching contributions through the 401(k) plan and the share purchase plan
Paid time off for vacation, holidays, and sick time
Paid parental leave
Learning opportunities and tuition assistance
Wellness and well-being programs

Additional information

CGI provides a reasonable estimate of the compensation range for this role as required by law in some jurisdictions.
CGI benefits are offered to eligible professionals on their first day of employment.
All CGI offers in the U.S. are contingent upon successfully completing a background investigation.
Qualified applicants receive consideration without regard to protected statuses required by applicable laws.
CGI provides reasonable accommodations to qualified individuals with disabilities. For application accommodations in the U.S., email US_Employment_Compliance@cgi.com.

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2d ago

Data Engineer

Mindex Rochester, NY

Rochester, NY

2d ago

$90k - $140k/yr Full time Amazon Web Services Analytics Application Security

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Job Description

Mindex is looking for a Data Engineer to help SchoolTool power interactive dashboards and analytics with cloud-native data pipelines, data models, and warehouse structures. In this onsite role in Rochester, NY, you will build analytics solutions, collaborate with delivery teams and customer stakeholders, and apply AI-assisted engineering practices across planning through troubleshooting. The position offers Flexible Time Off, medical, dental, and vision insurance, a 401(k) with company match, company-paid life and disability insurance, and professional development opportunities.

What you will do

Build, test, scale, and maintain cloud-native data pipelines, data models, and warehouse structures supporting SchoolTool’s dashboards and analytics.
Develop analytics solutions using Python, Apache Spark, Snowflake, SQL, and NoSQL technologies, along with BI tools such as Amazon QuickSight, Tableau, or Power BI.
Contribute end-to-end to complex data solutions, from data discovery and cleaning through model selection, validation, and deployment.
Work directly with customer stakeholders, align deliverables to their roadmap and vision, and act as a primary contact when needed.
Deliver well-defined data solutions independently and participate in technical design decisions.
Build strong technical and non-technical connections within your team, across Mindex delivery teams, and with customer stakeholders.
Use AI-assisted engineering and the AI DLC across planning, design, development, testing, documentation, and troubleshooting.
Maintain an AI-first mindset to improve productivity, accelerate problem-solving, enhance quality, automate routine tasks, and support innovation.

What you bring

AS or BS degree in Computer Science, Software Engineering, Physical Science, Mathematics, or a related field (preferred), or an equivalent combination of education and experience.
3–5 years of data engineering experience, including implementing a data pipeline for an enterprise application.
Experience with OLTP and OLAP databases and hands-on experience with serverless platforms such as AWS Lambda and/or AWS Glue.
Experience with infrastructure as code using AWS CloudFormation and Terraform, and familiarity with DevOps tools such as AWS CodePipeline, Azure DevOps, or GitLab.
Strong communication skills to clearly explain complex information to technical teams and customer stakeholders.
Strong analytical and problem-solving skills with a focus on exceptional customer service.
High organization and accuracy, with strong initiative and follow-through.
Comfort working both independently and in a collaborative, self-organizing team, including asking questions and providing or accepting feedback.
Ability to use AI to augment expertise and decision-making while maintaining ownership, accountability, and professional judgment for final outcomes.
Ability to identify opportunities to use AI to streamline workflows, reduce manual work, improve efficiency, and increase business value.
Awareness of emerging AI capabilities, tools, and best practices, with proactive identification of workplace applications.
Sound judgment for ethical, secure, and compliant use of AI technologies while protecting confidential customer and company information.
AWS Certification (Associate or Foundational) or applicable industry certifications are a plus.

Technologies you may use

Python, Apache Spark, Snowflake, SQL, NoSQL
Amazon QuickSight, Tableau, Power BI
AWS Lambda, AWS Glue, AWS CloudFormation, Terraform
AWS CodePipeline, Azure DevOps, GitLab

Location and work expectations

This role is onsite in Rochester, NY. Mindex welcomes candidates from a variety of locations; however, candidates should be open to occasional in-person participation. Candidates located within approximately 35 miles of Rochester, NY may be asked to work from the office more frequently based on business or team needs.

Additional details

Applicants must be authorized to work for any employer in the United States.
Mindex is unable to sponsor employment visas at this time.

Physical requirements/conditions

Prolonged periods sitting at a desk and working on a computer.
No heavy lifting expected; exertion up to 10 lbs.

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2d ago

Senior Data Engineer (Snowflake, AWS)

Ecco Select Atlanta, GA

Atlanta, GA

2d ago

Contract Senior Amazon Web Services AWS

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Job Description

ECCO Select is hiring a Senior Data Engineer to design, build, and maintain data pipelines and a Snowflake data platform on AWS. This hybrid role supports analytics and business reporting by integrating data from multiple internal and external systems, while partnering closely with analysts, BI developers, application engineers, and stakeholders.

Based in Atlanta, this contract position is focused on production-grade data engineering across pipeline orchestration, Snowflake modeling, performance tuning, and governance. The ideal candidate brings hands-on Snowflake and AWS experience and can collaborate effectively across technical and business teams.

Role Summary

As a Senior Data Engineer, you will integrate data from application systems, SaaS platforms, and third-party sources, then transform and deliver trusted datasets through a clean, well-modeled Snowflake environment. You will help ensure reliability with monitoring, data quality checks, and security controls, while documenting flows and contributing to code reviews.

Responsibilities

Design and build batch and near-real-time data pipelines on AWS using S3, Glue, Lambda, and Step Functions.
Develop and maintain Snowflake data models across raw, staging, and reporting layers for analytics and business reporting.
Load and transform data in Snowflake using Snowpipe, Streams and Tasks, and external stages.
Integrate data from internal applications, SaaS platforms, and third-party sources via APIs and file-based feeds.
Tune Snowflake for performance and cost using warehouse sizing, query optimization, and usage monitoring.
Implement data quality checks, monitoring, and alerting to identify pipeline failures and data issues early.
Apply data security and governance standards, including role-based access control and data masking.
Partner with teams supporting .NET-based application systems to source data and support integrations.
Document data flows, models, and processes, and participate in code reviews.

Required Qualifications

5-7+ years of data engineering experience.
Hands-on Snowflake experience, including data modeling, SQL development, and performance tuning.
Production experience with AWS data services including S3, Glue, Lambda, and Step Functions.
Advanced SQL and a strong understanding of data warehousing concepts such as dimensional modeling and ELT patterns.
Familiarity with C#/.NET sufficient to read, support, or build data integrations with .NET applications.
Experience with Git and CI/CD practices.
Strong communication skills and a collaborative approach with both technical and business teams.
Bachelor’s degree in Computer Science or a related field, or equivalent experience.

Tech Stack

Snowflake, AWS
S3, Glue, Lambda, Step Functions
SQL, dimensional modeling, ELT
C#/.NET, Git, CI/CD
Snowpipe, Streams and Tasks, external stages
APIs, role-based access control, data masking

Contract Details

Duration: 6 month+ contract to hire
Schedule: Hybrid, onsite 2 days weekly
Start date: November
Work location: Hybrid remote in Atlanta, GA 30318

Benefits

401(k)
401(k) matching
Dental insurance
Health insurance
Health savings account
Life insurance
Paid time off
Vision insurance

Nice to Have

Experience with dbt, Python, or Airflow.
Infrastructure as code with Terraform or CloudFormation.
Experience with Power BI, Tableau, or other BI tools that use Snowflake.
Background in events, hospitality, or customer engagement data.
SnowPro Core or AWS Data Engineer (Associate) certification.

Application Questions

Are you based in the Atlanta region and willing to work a hybrid schedule coming onsite 2 days weekly?
Can you work as a W2 employee of the agency without sponsorship or future visa transfer?
Do you have 5 or more years of experience in data engineering?
Do you have in-depth hands-on technical experience with the Snowflake platform?
Do you design, build, and maintain data pipelines regularly?
Are you proficient with AWS data services such as S3, Glue, Lambda, or Step Functions?

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3d ago

Senior Data Engineer

Teal Health United States

United States

3d ago

$90 - $125/hr Contract Senior 3d Design Tools Aws Data Engineer

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Job Description

Teal Health is hiring a Senior Data Engineer to take ownership of the company’s data warehouse, ingestion pipelines, and modeled Omni data layer. In this hybrid United States contract role, you will build analysis-ready models so teams can confidently query consistent data across forecasting and key operational domains.

You will work end to end, starting from raw sources and moving through semantic modeling and dbt transformations, while partnering with analytics to ensure dashboards reflect an accurate, well-defined data layer. The work includes ongoing integrations, documentation, and careful handling of sensitive health information in line with HIPAA and Teal’s data governance practices.

What you’ll own

Own Teal’s data warehouse, including architecture, performance, reliability, and documentation.
Manage and extend Fivetran ingestion across source systems, troubleshooting connector and schema issues as they arise.
Build and maintain the dbt transformation layer, following a staging reporting pattern from raw sources to business-ready models used for forecasting, marketing, HubSpot, AWS, PostHog, and inventory.
Own the Omni data layer, defining relationships, joins, and modeled fields that enable cross-system answers on demand.
Partner with the analytics lead so dashboards rely on a data layer that is accurate, consistent, and well-defined.
Take on integrations early, including connecting new data sources and supporting partner data flows.
Write dbt tests and documentation so the team can trust and understand what’s in the warehouse.
Set standards for data modeling, testing, and documentation, helping shape how the data team grows.
Work from a ticketed backlog (Jira or similar), scoping requests across the company and keeping priorities visible.
Handle sensitive health data with care in line with HIPAA and Teal’s data governance practices.

Core qualifications

5+ years of experience in data engineering or analytics engineering, including ownership of a production data warehouse.
Strong SQL, including window functions, date logic, and complex joins across marketing, product, and operational data.
Fluency in Postgres/Redshift/Snowflake-style SQL features (for example: ::type casts, date_trunc()).
Hands-on experience with dbt-core, including:
- Models and sources
- dbt_project.yml and packages.yml configuration
- Jinja templating
- Custom macros (e.g., generate_schema_name)
- dbt testing and docs framework
Experience designing and developing a data warehouse using a layered staging reporting architecture.
Experience with Fivetran-landed data and comfort investigating source-specific raw schema quirks.
Working knowledge of common dbt packages such as dbt_utils and dbt_date (including surrogate keys and date spines).
A habit of clear documentation and organized, ticket-driven work.

Technologies involved

SQL, Postgres, Redshift, Snowflake
dbt-core, Jinja
Fivetran
dbt_utils, dbt_date
Omni
HubSpot, PostHog, AWS
HIPAA, Jira
Ad platforms: Google, Meta, TikTok, Bing, Reddit, Pinterest, Quora, Spotify Ads

Role details

Location: United States (hybrid). Preferred hybrid or full-time in office (San Francisco); open to Remote-US.
Employment type: Contract (~5 to 20 hours per week as projects fluctuate).
Department: Engineering
Reports to: Head of Engineering
Hourly rate: $90–$125 per hour

Preferred experience

Experience with Omni or a similar semantic/modeling layer (e.g., Looker, LookML).
Python for scripting, integrations, or pipeline tooling.
Experience with healthcare or EHR integrations.
Deeper Jinja experience, including control flow and variables within dbt models.
Experience at an early-stage or fast-growing company where you owned a data function with limited support.

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4d ago

Senior Data Engineer

Robotics Technologies Atlanta, GA

Atlanta, GA

4d ago

Full time Senior Automation Big Data

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Job Description

Robotics Technologies is hiring a Senior Data Engineer for an onsite role in Atlanta, GA. In this position, you will build and operate production-grade batch and streaming data pipelines, integrate lakehouse layers with analytics systems, and help ensure data quality, monitoring, and reliable delivery to downstream teams.

What you’ll be building

Production pipelines that ingest and transform data from SQL Server, cloud applications, device and event streams, Customer Relationship Management systems, and third-party sources.
Lakehouse data layers spanning landing, raw, conformed, and consumption zones using Apache Iceberg and Trino.
Dimensional and analytical models for entities such as buildings, tenants, credentials, devices, and people.
Automated data-quality checks, pipeline monitoring, lineage, freshness alerts, and operational dashboards.
Integrations between the lakehouse and Snowflake, including Iceberg-backed/external tables, secure sharing, and downstream data contracts.

How the work runs in production

Implement robust handling for Change Data Capture, late-arriving data, retries, backfills, replay, schema evolution, and data reconciliation.
Troubleshoot and resolve production issues including pipeline failures, performance bottlenecks, and data-quality problems.
Optimize SQL queries, storage layouts, partitioning and clustering, compute utilization, and overall platform cost.
Apply security controls such as role-based access, row/column-level security, masking, and protection of sensitive data.

Engineering and collaboration

Build and maintain CI/CD pipelines, automated testing, infrastructure-as-code, and environment promotion processes.
Support production operations including incident resolution, Root Cause Analysis, deployments, and on-call activities.
Partner with Product, Application Engineering, Quality Assurance, DevOps/Site Reliability Engineering, Analytics, and globally distributed engineering teams.
Contribute to technical design decisions and documentation while staying hands-on in implementation and production delivery.

Requirements

6+ years of hands-on experience in data engineering, data warehousing, or data platform development.
Strong production experience building and supporting end-to-end data pipelines.
Expert SQL, including complex queries, query-plan analysis, and performance tuning.
Strong development skills in Python, Java, or Scala.
Hands-on experience with Apache Iceberg, Delta Lake, or Apache Hudi.
Experience with distributed query technologies such as Trino, Presto, or Spark SQL.
Hands-on Snowflake experience, including data modeling, performance optimization, external/Iceberg tables, secure data sharing, or access management.
Experience with streaming and Change Data Capture technologies such as Apache Flink, Kafka, Spark Structured Streaming, or Debezium.
Strong understanding of dimensional modeling, data quality, schema evolution, and data contracts.
Experience with Kubernetes, containers, CI/CD, and infrastructure-as-code.
Experience implementing monitoring, alerting, lineage, reconciliation, and operational support for production data platforms.
Ability to independently troubleshoot complex production issues and drive them through resolution.

Preferred qualifications

Experience with multi-tenant SaaS data platforms and customer data isolation.
Experience integrating open lakehouse platforms with Snowflake.
Azure cloud experience.
Experience with Airflow, Dagster, dbt, Power BI, Looker, or Superset.
Experience with data governance, cataloging, masking, and access-control frameworks.
Exposure to Internet of Things/device telemetry, physical security, commercial real estate, or property technology.
Experience using AI-assisted engineering tools to accelerate data development.

Technologies: SQL Server, Apache Flink, Kafka, Change Data Capture, SQL, Python, Java, Scala, Apache Iceberg, Trino, Snowflake, Apache Hudi, Delta Lake, Presto, Spark SQL, Spark Structured Streaming, Debezium, Kubernetes, Continuous Integration, Continuous Deployment, Infrastructure-as-code, Row/column-level security.

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4d ago

Data Engineer

Robotics Technologies San Jose, CA

San Jose, CA

4d ago

Full time Analytics Automation Developer AWS

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Job Description

Robotics Technologies is hiring a Data Engineer to help design and run scalable data pipelines and data processing solutions across multiple sources and cloud platforms. Based in San Jose, CA with an onsite setup, this role focuses on building reliable data foundations for business intelligence and analytics.

What you’ll do

Design, develop, and maintain scalable pipelines to extract, transform, and load data from multiple sources
Create ETL/ELT workflows using Python, SQL, PySpark, and Azure Data Factory
Build and optimize data processing solutions with Apache Spark and Databricks
Work with structured and unstructured data from relational databases, APIs, flat files, and cloud storage
Develop data integration solutions that support BI and analytics requirements
Write complex SQL including queries, stored procedures, views, and functions for large dataset transformations
Implement data validation, cleansing, transformation, and quality checks to support data accuracy
Use Azure Data Lake Storage and cloud platforms to store and manage large volumes of data
Create and maintain data warehouses, data marts, and dimensional data models
Integrate enterprise data using REST APIs and database connectors
Monitor pipelines, troubleshoot failures, and address performance and processing issues
Implement incremental loading, partitioning, and optimization techniques to improve pipeline performance
Support data loading and warehouse management in Snowflake, including transformation and query optimization
Apply data security, access controls, and governance practices
Use Git and Azure DevOps to manage source control, CI/CD, and deployment
Collaborate with data analysts, data scientists, and business stakeholders to understand requirements
Participate in Agile/Scrum ceremonies, technical discussions, code reviews, and production support

What you bring

Bachelor’s degree in Computer Science, Information Technology, or a related field
Experience in data engineering, ETL development, and data pipeline implementation
Strong programming knowledge in Python, SQL, and PySpark
Experience working with cloud platforms and data warehousing technologies
Understanding of data modeling, database concepts, and data integration
Strong skills in analytics, problem-solving, debugging, and communication

Tools and technologies you’ll work with

Python, SQL, PySpark, Apache Spark, Azure Data Factory, Databricks, Azure Data Lake, AWS, Snowflake, ETL/ELT, SQL Server, Power BI, Git, Hadoop, Informatica, SSIS, Amazon S3, Azure Synapse Analytics, PostgreSQL, MySQL, Oracle, Star Schema, Snowflake Schema, Dimensional Modeling, Azure DevOps, CI/CD, Jenkins, Agile, Scrum, SDLC, REST APIs, Azure Data Lake Storage

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4d ago

Data Engineer 5

Capital One New York, NY

New York, NY

4d ago

$251k - $286k/yr Full time Backend Developer Apache Airflow Automation

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Job Description

Capital One is building large-scale, cloud-first data capabilities for Enterprise Data Tech (EDT), and the company is seeking a Data Engineer 5 (Senior Manager, IC) to lead a major data transformation. In this role, you will design and deliver resilient data pipelines and platforms, applying modern engineering patterns and distributed systems to support AI-era workloads.

Based in New York, NY (onsite), this position is backed by a compensation range of USD 250,800 - 286,200 per year. The role calls for deep hands-on engineering experience across data platforms, cloud tooling, and end-to-end pipeline delivery.

Responsibilities

Collaborate with Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
Influence a team of developers, data analysts, and data scientists with strong backgrounds in machine learning, distributed microservices, lakehouse architecture, and full-stack systems
Use Python and Spark along with open-source relational and NoSQL databases and cloud data warehousing platforms including Databricks and Snowflake
Stay current with data engineering trends by experimenting with new technologies, participating in internal and external communities, and mentoring others
Work with product managers and software engineers to deliver robust cloud-first data solutions that help drive experiences for millions of Americans focused on financial empowerment
Independently design, build, and deliver cloud data solutions and applications with little or no support from supervisors or managers
Architect and enforce common data engineering design patterns to improve code quality, maintainability, and reusability across pipelines and platforms
Deliver pipelines and platforms focused on scalability, resilience, and operational efficiency, maintaining strong performance as data volume and demand increase
Serve as a force-multiplier by balancing deep technical contribution and innovation with mentoring and elevating peers and junior engineers
Lead large-scale transformative initiatives end to end, including critical architecture and platform evaluations such as Snowflake versus Databricks based on technical and business requirements
Act as an ambassador for the team by clearly communicating technical concepts and data outcomes to internal and external stakeholders to align on shared understanding

Requirements

Bachelor’s degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 6 years of experience in application development (internship experience does not apply)
At least 4 years of experience in distributed data
At least 4 years of experience with SQL
At least 4 years programming with at least one of: Python, Java, or Scala
At least 4 years designing and developing data pipelines
At least 2 years in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Technologies

Python, Spark, SQL, Databricks, Snowflake
NoSQL and relational databases
AWS services and tooling including EMR, Glue, and Redshift
Lakehouse architecture, microservices, and real-time or streaming data pipelines
Orchestration and observability tools including Airflow, Dagster, Monte Carlo, and Splunk
Datastores and platforms referenced in the role: MongoDB, Cassandra, DynamoDB

Benefits

Health, financial, and other benefits that support total well-being
Performance-based incentive compensation, including cash bonus(es) and/or long-term incentives (LTI)

Preferred Qualifications

Master’s degree in Computer Science or a related field
8+ years of experience in data engineering
5+ years hands-on experience designing, deploying, and operating data workloads in AWS
5+ years experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks
5+ years experience designing, implementing, and operating real-time or streaming data pipelines
5+ years experience with unstructured or semistructured data using NoSQL databases (MongoDB, Cassandra, DynamoDB)
5+ years experience designing and supporting data warehousing solutions (Snowflake, Redshift)
4+ years of data modeling experience
3+ years working in an Agile development environment
3+ years developing user-centric reusable data products
3+ years working on data observability (Monte Carlo, Splunk) or data orchestration tools (Airflow, Dagster)