United States

Developer Jobs in United States

4,418 jobs found

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2d ago

Data Engineer

Base-2 Solutions Doral, FL

Doral, FL

2d ago

Full time Backend Developer Analytics API

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Job Description

Base-2 Solutions is seeking a Data Engineer to support a USSOUTHCOM J26 Enhanced Domain Awareness task order. In this onsite role in Doral, FL, you will develop and maintain data integration pipelines, API services, and front-end interfaces focused on geospatial and structured data, while also building scalable applications within ESRI-based GIS platforms and cloud data engineering environments.

This position (Requisition ID: 5018) aligns data platforms and interoperability needs across Data Lakes and GIS ecosystems, including Databricks, Kubernetes, ESRI ArcGIS, and Unity Catalog. The work also requires the ability to deliver secure, production-ready integrations for research products under an active Top Secret/SCI clearance.

Responsibilities

Develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for geospatial and structured data visualization.
Work with Data Lakes platforms including Databricks, Kubernetes, and ESRI ArcGIS environments.
Build scalable, secure web applications with metadata-driven search and retrieval features.
Integrate APIs to enable seamless data interoperability.
Develop and deploy full-stack applications enabling data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.
Implement RESTful and GraphQL APIs for data retrieval and integration between the Data Lake, ESRI ArcGIS, and external sources.
Manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products.
Optimize database queries and indexing strategies for large-scale geospatial and structured datasets.

Requirements

Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years of equivalent experience in full-stack development and data engineering.
Demonstrated experience developing and deploying full-stack applications for data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.
Experience implementing RESTful and GraphQL APIs for data retrieval and integration.
Experience managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms.
Experience optimizing database queries and indexing strategies for large-scale geospatial and structured datasets.

Technologies

Databricks
Kubernetes
ESRI ArcGIS
Unity Catalog
RESTful APIs
GraphQL
CI/CD
REST
AWS

Preferred Qualifications

AWS Certified Data Analytics - Specialty.
Microsoft Certified: Azure Data Engineer Associate.
ESRI ArcGIS Developer Certification.

Benefits

100% company-paid medical premiums for employees and eligible dependents.
Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
100% company-paid dental premiums for employees and eligible dependents.
100% company-paid vision premiums for employees and eligible dependents.
100% company-paid premiums for short-term disability.
100% company-paid premiums for long-term disability.
100% company-paid premiums for accidental death & dismemberment (AD&D).
100% company-paid premiums for life insurance up to $200,000.
401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
401(k) pre-tax and Roth options.
Up to 20 days of flexible paid time off (PTO).
11 paid floating holidays.
Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).
Employee referral bonuses up to $10,000 per hired referral.

Additional Information

Required security clearance: Active Top Secret/SCI
U.S. citizenship required: Yes
Work type: On-Site
Location: Doral, FL
Shift: First
Referral eligibility: Eligible
Required certifications: None specified

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2d ago

Senior Data Engineer

EXL Service Jersey City, NJ

Jersey City, NJ

2d ago

$100k - $125k/yr Full time Senior Big Data Data

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Job Description

EXL Service is hiring a Senior Data Engineer for its insurance data and analytics practice in Jersey City, NJ (onsite).

Key Responsibilities

Design and implement end-to-end data pipelines using PySpark, Snowflake, and AWS cloud services
Architect scalable ELT/ETL workflows and data warehouse models for insurance analytics use cases
Lead data migration and modernization efforts from legacy environments to cloud-native platforms
Build and review complex SQL transformations, stored procedures, and data quality validation frameworks
Define and enforce data engineering standards, coding best practices, and pipeline documentation
Perform hands-on troubleshooting and performance optimization across the data stack

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field

Technology Focus

PySpark
Snowflake
AWS
ELT/ETL
SQL

Compensation

Base compensation range: USD 100,000 - 125,000 per year

For more information on benefits and what EXL Service offers, visit: https://www.exlservice.com/us-careers-and-benefits

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2d ago

Data Engineer Associate

Northwestern Memorial Healthcare Chicago, IL

Chicago, IL

2d ago

$40 - $56/hr Full time Analytics Business Analytics Business Intelligence

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Job Description

Build data warehouse and analytics solutions that support data consumption across the health system in Chicago.

Responsibilities

Deliver data warehouse and analytics solutions by ingesting, integrating, and curating data, administering systems, and publishing information for the health system
Use relational database skills, including SQL, to create queries and stored procedures
Collaborate with the Architecture team on the design and execution of solutions
Ensure new and existing data models and databases align with approved data architecture standards
Create, document, and communicate the integration approach for solution components
Define key solutions and ensure they are managed for user and cross-team consumption
Research and analyze business needs and product/service strategies to determine capabilities and propose solution alternatives
Assist with ETL design and development, including data analysis, source-to-target mapping, quality profiling, change data capture, and code performance
Evaluate data quality and interpret results clearly and concisely
Document all programming changes, design updates, system modifications, and associated maintenance

Requirements

0 – 3+ years of experience querying, analyzing data, and/or data modeling/architecture
0 – 3+ years developing and maintaining ETL / data pipelines (examples: Microsoft SSIS, Azure Data Factory)
Experience using SQL for data extraction, manipulation, and reporting
Relational database knowledge, including the ability to create queries and stored procedures
Experience with reporting and data visualization tools: Microsoft Power BI, Tableau, Crystal Reports, SSRS, etc.
0 – 1 yrs advanced proficiency in Python, with demonstrated work experience building data solutions using Python
Bachelor’s degree or equivalent experience in a relevant field

Technology

SQL
Microsoft SSIS
Azure Data Factory
Python
Microsoft Power BI
Tableau
Crystal Reports
SSRS

Compensation and Location

Location: Chicago, IL (onsite)
Salary: USD 40 - 56 per hourly
Minimum experience: 3 years

Benefits

401(k) matching
Tuition reimbursement
Loan forgiveness
Lifecycle benefits

Artificial Intelligence Disclosure

Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position; however, all employment decisions will be made by a person.

Background Check

Northwestern Medicine conducts a background check that includes criminal history on newly hired team members and, at times, internal transfers
Results are evaluated on a case-by-case basis, following local, state, and federal laws including the Illinois Health Care Worker Background Check Act

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2d ago

Senior Data Engineer

Columbia Sportswear Company Portland, OR

Portland, OR

2d ago

Full time Backend Developer Senior Analytics

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Job Description

Columbia Sportswear Company is hiring a Senior Data Engineer to strengthen its analytics and reporting ecosystem with robust data modeling, reliable ETL/ELT pipelines, and governed business intelligence. This hybrid role is based near Portland, OR, with onsite four days per week, supporting end-to-end delivery from ingestion through curated datasets and self-service access.

Role focus

You will design analytics-ready data foundations using Kimball-style dimensional modeling, develop transformation workflows with testing and documentation, and help maintain governed Power BI semantic models. The work also includes enforcing data quality, lineage, security policies while delivering data ingestion into data lake and lakehouse environments such as Data Bricks and Synapse.

Responsibilities

Design and implement Kimball-style dimensional models and analytical datasets
Develop transformations with tests, documentation, and data contracts
Build and maintain ELT/ETL workflows into data warehouses and data lakes, including orchestration, monitoring, and cost/performance tuning
Create and maintain governed Power BI semantic models and datasets
Enable self-service access while enforcing data quality, lineage, and security policies
Share data and tool usage to improve organizational access and support ad hoc analysis for stakeholder decisions
Explore internal and external data sources and partner with BSAs and Data Engineering teams to ingest data into data lake/Data Bricks/Synapse
Elicit and clarify business requirements
Document specifications, KPIs, and acceptance tests
Deliver demos, office hours, and enablement
Implement CI/CD using Git-based workflows, along with unit/integration testing and data observability SLAs/SLOs
Profile SQL and storage strategies, including caching and compute scaling
Contribute to catalog/lineage, RBAC/ABAC, PII handling, and retention standards

Requirements

Bachelor’s degree in Computer Science, Information Technology, Electrical Engineering, or related field (foreign equivalent acceptable)
36 months of experience in the job offered or related position
SQL development experience, including complex queries, stored procedures, views, joins, and performance tuning in SQL Server environments
ETL/ELT development using SSIS or equivalent tools, including data mapping, transformations, workflow scheduling, and job automation
Power BI development, including semantic models, dashboards, and reports
Experience creating DAX measures
Experience with Power Query (M) transformations
Experience publishing to Power BI Service
Dimensional data modeling experience, designing star and snowflake schemas using Kimball or equivalent methodologies
Data validation and profiling experience, including optimization, incremental refresh, and cross-system reconciliation
Experience working with databases and cloud platforms such as Azure SQL or Snowflake
Experience using JIRA for issue tracking and project management

Technologies

SQL, SQL Server, SSIS
Power BI, DAX, Power Query (M), Power BI Service
Kimball, Azure SQL, Snowflake
Git, JIRA

Benefits

401k plan plus a generous company match
Medical, dental, vision, life insurance, disability, plus flexible spending accounts and a health savings account
EAP + free and confidential 24/7/365 counseling services
Voluntary benefits including accident, critical illness, hospital indemnity, and legal services
Extensive wellness benefits
Employee discounts
Generous time off program

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2d ago

Data Engineer

Tennr New York, NY

New York, NY

2d ago

$160k - $190k/yr Full time Data Architecture Data Engineer Data Integration

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Job Description

At Tennr, this Data Engineering role sits at the center of how the company turns application and healthcare data into analytics-ready information. You will lead the end-to-end data engineering function, owning production pipelines into Snowflake and working directly on integrations with EHR systems to support internal teams.

This position is based in New York, NY (onsite) and offers USD 160,000 - 190,000 per year. You will bring 3+ years of data engineering experience to build reliable infrastructure, govern Snowflake, and explore new ways to extract value from unstructured clinical referral documentation.

What you’ll own

End-to-end data engineering: build and maintain production pipelines from Tennr’s application into Snowflake, with a focus on reliability and performance at scale.
EHR discovery and integration: lead initiatives across approximately 5–10 healthcare systems, understand available data and existing integrations, evaluate technical tradeoffs, and design creative solutions to extract and ingest data into Snowflake.
Snowflake platform ownership: architect instance setup, implement security best practices and governance, manage vendor relationships, and ensure zero data exposure.
Data modeling for internal analytics: design and implement data models that transform raw data into usable assets, then surface and safely share those assets across Tennr so internal teams can build their own analytics and tooling.
Monitoring and alerting: implement comprehensive monitoring to detect pipeline issues quickly and resolve them with minimal business impact.
Unstructured clinical referral insights: explore approaches to structure and extract insights from unstructured referral documentation, including AI-enabled models to unlock value from clinical text data.

What you’ll bring

3–5 years of data engineering experience, with a strong track record building and maintaining scalable data pipelines and infrastructure.
Proven expertise with Snowflake and modern cloud platforms such as AWS and GCP, plus hands-on experience with data pipeline tools and orchestration frameworks.
Strong understanding of healthcare data such as claims and EHR systems, plus familiarity with data integration patterns, or the ability to quickly learn complex domain systems.
Healthcare-data security awareness, including best practices such as HIPAA considerations, data governance, and compliance (a strong plus).
Strong problem-solving skills and comfort working through complex, ambiguous integration challenges.
Excellent communication skills to explain complex technical and healthcare topics to a diverse audience.
Ability to collaborate in a team environment and value diverse perspectives.
Prior experience in a startup or fast-paced tech environment is a plus.

Tools and focus areas

Snowflake
AWS
GCP
AI-enabled models
HIPAA

Benefits

Beautiful new office at 345 Hudson Street
Unlimited PTO
100% paid employee health benefit options
Employer-funded 401(k) match
Competitive parental leave
Free lunch, plus a pantry full of snacks

Why Tennr

Drive Impact: one of Tennr’s values is Cowboy, meaning you set the pace and get things done with visible impact.
Develop Operational Expertise: learn how scaling systems, tools, and infrastructure works in practice.
Innovate with Purpose: focus on reducing patient delays across the U.S. healthcare system.
Build Relationships: collaborate in the Hudson Square office 4 days/week with a team of driven, like-minded people.

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2d ago

Senior Data Engineer

Aivra Health Dallas, TX

Dallas, TX

2d ago

$150k - $200k/yr Full time Senior Apache Airflow Application Security

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Job Description

Work on reliable health data infrastructure with Aivra Health in Dallas, TX (onsite). This full-time Senior Data Engineer role focuses on designing and maintaining scalable data pipelines and data infrastructure that support data-driven teams. If you enjoy building dependable workflows, improving data quality, and connecting systems across APIs and databases, this position offers a direct path to impact.

Responsibilities

Build and maintain scalable ETL/ELT pipelines for ingestion, transformation, and delivery of data
Develop data ingestion and transformation workflows
Design and optimize databases and data warehouses to support analytics and downstream applications
Process and analyze large datasets efficiently
Ensure data quality, reliability, and security across pipeline outputs
Integrate data from multiple sources and APIs
Monitor and troubleshoot data pipelines to maintain performance and availability
Collaborate with Data Scientists, Software Engineers, and Business teams
Implement automated data workflows and documentation

What You’ll Bring

Python and SQL
Hands-on experience with ETL/ELT, data pipelines, and data warehousing
Experience with Apache Spark / PySpark
Working knowledge of AWS / Azure / GCP
Proficiency with Git / GitHub
Database fundamentals, data modeling, and REST APIs

Technologies You May Work With

Airflow, Databricks, Snowflake, Kafka
AWS S3, Redshift, Glue; Azure Data Factory; BigQuery
Docker, Kubernetes, Terraform
CI/CD, dbt, NoSQL (MongoDB)

Location, Type, and Compensation

On-site in Dallas, TX, USA. Full-Time role with compensation listed as USD 150,000 - 200,000 per year.

Eligibility

Education: Master’s degree in Computer Science, Data Engineering, Information Technology, Data Science, or a related technical field
Experience range: Freshers to 3+ years, with candidate criteria emphasizing 1–3 years experience
Currently living in the USA
Valid US work authorization, where required
Open to work / actively seeking opportunities

Relocation Support

Relocation assistance is available.

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2d ago

Data Engineer

Realign LLC Seattle, WA

Seattle, WA

2d ago

$131k+/yr Full time Apache Airflow Big Data Bigdata

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Job Description

The Data Engineer position at Realign LLC in Seattle, WA focuses on designing, building, and maintaining reliable data pipelines while translating stakeholder data requirements into executable delivery plans. The role emphasizes robust implementation practices across SQL and Python, with cloud-native experience using AWS and other major platforms.

Location

Seattle, WA (onsite)

Compensation

USD 131,000 per year

Experience Level

Minimum 3 years of experience is required.

Education

Bachelor's degree or Master's degree in computer science, statistics, information systems, or a related technical field.

Responsibilities

Develop a track record of translating stakeholder data requirements into actionable plans.
Implement and uphold data pipeline best practices to support accuracy, consistency, and reliability.
Write and maintain robust data pipelines using SQL and Python.

Requirements

6+ years of data engineering experience.
3+ years working in a data engineering, data science, or software engineering capacity.
Expertise in building and maintaining robust data pipelines in SQL and Python.
A track record of converting stakeholder data requirements into actionable plans.
Experience with cloud-native solutions.
Demonstrated experience applying data pipeline best practices to ensure accuracy, consistency, and reliability.
Bachelor’s or Master’s degree in computer science, statistics, information systems, or a related technical field.
Experience with a scripting language such as Python, Java, or R.
5+ years of experience in data warehousing, data modeling, and building or maintaining ETL/ELT pipelines at scale.
Extensive experience with AWS, Google Cloud Platform (GCP), or Azure.
Proficiency with Apache Spark, Kafka, NoSQL databases, and orchestration tools such as Apache Airflow.
Strong skills in Python, Java, or Scala.
Deep knowledge of SQL, including experience with Snowflake, Data bricks, or Redshift.

Technologies

SQL
AWS
Python
GCP
Azure
Apache Spark
Kafka
NoSQL databases
Apache Airflow
Java
R
Scala
Snowflake
Data bricks
Redshift

Benefits

Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Maternal & Parental Leaves.
Aut & Home Insurance and Identity Theft Protection.
Commuter Benefits and Certification & Training Reimbursement.
Vacation, Time Off, Sick Leave & Holidays.
Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.