Data Architecture

Data Architecture Developer Jobs

1,054 jobs found

4d ago

Data Engineer

Ericsson Boise, ID

Boise, ID

4d ago

Contract Azure Cloud Cloud Data Engineering

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Job Description

Ericsson is seeking a Snowflake Data Engineer contractor to support modern analytics solutions in a data platform environment.

Responsibilities

Translate business requirements into technical specifications for analytics solutions
Design, build, and maintain data models, transformations, and pipelines using dbt Cloud and Snowflake
Develop and optimize SQL queries for performance and scalability
Implement ELT workflows using version control (Git) and software development best practices
Work across the Analytics Development Lifecycle, including design, development, testing, and deployment
Create and maintain documentation for functional requirements and technical specifications
Perform unit testing, complete peer code reviews, and ensure adherence to coding standards
Support code promotion and environment synchronization activities
Collaborate with stakeholders to integrate business logic into data models and reporting solutions
Develop custom Python scripts for data extraction and transformation from APIs, SFTP, and semi-structured sources
Apply advanced data warehousing knowledge (Star Schema, Facts & Dimensions, OLAP design)
Ensure compliance with Agile methodologies, including participation in sprint planning and reviews

Requirements

Advanced SQL skills with hands-on Snowflake experience
Strong experience with dbt Cloud/Core and modular data modeling
Proficiency in Python for data manipulation and integration tasks
Familiarity with APIs, SFTP, and semi-structured data formats (JSON, XML)
Experience with Git-based source control and collaborative development workflows
Solid understanding of data warehousing principles, including slowly changing dimensions and bridge tables
Exposure to cloud environments (AWS or Azure)
Strong communication and documentation skills; ability to work in a dynamic, team-oriented environment

Technologies

Snowflake
dbt Cloud
dbt Core
SQL
Python
Git
AWS
Azure
JSON
XML

Benefits

Subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution
For California employees: subsidized HMO option through Kaiser
Subsidized dental and vision coverage
401(k) plan has a 4% company match and immediate vesting
Company-paid employee basic life and AD&D insurance
Company-paid disability benefits
Minimum of 15 days of accrued vacation; up to 3 personal days per year; 11 annual holidays; 8 hours of volunteer time; and 80 hours of sick time annually
Up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay
Comprehensive Employee Assistance Program
Mobile therapy
Volunteer paid time off

Nice to Have

Experience with BI tools and visualization concepts
Familiarity with SaaS-based data platforms
Knowledge of Pandas or similar Python libraries for data wrangling

Job Details

Job Location: Boise, ID (onsite)
Job Type: contract
IT Data Engineer
Primary Country and City: United States (US) || Boise (ID)

Ericsson Enterprise Wireless Solutions Inc. does not sponsor U.S. work authorizations for this job position, including U.S. immigration filings for initial and/or change of employer paperwork for H-1, H-1B1, E-3, O-1, and TN.

Ericsson also does not hire F-1 students working on CPT or EAD for this position.

What happens once you apply?

Click Here to find all you need to know about what the typical hiring process looks like

Disclaimer: The above statements describe the general nature and level of work being performed. They are not an exhaustive list of all responsibilities, duties, and skills required for this position, and additional job tasks may be assigned.

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4d ago

Senior AWS IAM & Data Engineer

System One Lafayette, LA

Lafayette, LA

4d ago

Full time Amazon Web Services AWS Aws Cloud Security

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Job Description

System One is hiring a Senior AWS IAM & Data Engineer to support enterprise cloud identity services and AWS-based data and analytics in a large-scale financial services environment.

Responsibilities

Support enterprise cloud identity services and AWS-based data and analytics in a large-scale financial services environment
Configure and maintain AWS Identity Center including identity federation, permission sets, and account access
Implement and support enterprise identity integrations across AWS
Build and maintain data ingestion, transformation, and reporting workflows using Redshift, S3, Glue, and Athena
Troubleshoot issues across security, data, cloud, and application teams and drive automated resolution
Independently evaluate technical options and deliver production-quality code and automation
Collaborate with security, data, cloud, and application teams to ensure smooth operations and integrations
Support ETL and data pipelines using AWS Glue, Lambda, Step Functions, EventBridge, or similar services
Query and analyze datasets; validate data; investigate data quality issues; support reporting needs
Automate cloud, IAM, and data workflows using Python and Shell scripting
Use Terraform or CloudFormation to automate infrastructure provisioning and configuration
Apply best practices for enterprise identity federation and cross-account access

Requirements

5+ years of experience with AWS IAM Identity Center (permission sets, account assignments, federation, enterprise integrations)
Strong working knowledge of AWS IAM: roles, policies, trust policies, permission boundaries, least privilege, and cross-account access
Hands-on experience with AWS data services: Redshift, S3, Glue, Athena, and Lake Formation
Proven ability to develop and support ETL and data pipelines and orchestrate workflows
Proficiency with SQL for querying, analyzing, and troubleshooting datasets
Experience with automation scripting using Python and/or Shell
Familiarity with Terraform or CloudFormation for infrastructure setup and configuration
Understanding of enterprise identity federation across AWS accounts and services
Strong problem-solving skills and ability to deliver high-quality automated solutions
Excellent communication and collaboration skills in enterprise teams
Experience in financial services or other highly regulated environments is a plus
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field

Technologies

AWS IAM
AWS Identity Center
Identity federation
Redshift
S3
Glue
Athena
Lake Formation
ETL and data pipelines
SQL
Python
Shell scripting
Terraform
CloudFormation
AWS Glue
Lambda
Step Functions
EventBridge

Benefits

Health and welfare benefits coverage options including medical, dental, vision
Spending accounts
Life insurance
Voluntary plans
Participation in a 401(k) plan

Job Details

Type: Direct Hire
Work model: Hybrid
Locations: Lafayette, LA; Knoxville, TN; Columbia, SC; Birmingham, AL
Hours: 40.0
Security clearance: Not specified

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4d ago

Data Engineer

Experis Austin, TX

Austin, TX

4d ago

$75+/hr Full time Analytics Azure Big Data

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Job Description

Experis is seeking a Data Engineer to design, build, and manage scalable AI and data platforms and pipelines for enterprise-wide data and AI initiatives. This fully onsite role in Austin, TX focuses on modern data platforms, including warehouses, lakes, and ETL/ELT, with close collaboration across engineering, data science, and business teams.

Responsibilities

Design, build, and manage scalable AI and data platforms and pipelines that support efficient data collection, processing, and analysis for business insights.
Lead development of modern data solutions, including data warehouses, data lakes, and ETL/ELT pipelines, along with cloud-based analytics and machine learning data infrastructure.
Collaborate with semiconductor engineers, data scientists, business stakeholders, and IT teams to deliver reliable data systems aligned to enterprise needs.
Apply expertise in data architecture, data integration, cloud technologies, and software engineering best practices to strengthen the overall data ecosystem.
Mentor team members, influence technical direction, and drive continuous improvement across the end-to-end data platform.

Requirements

8-10 years of experience in system design, database design, data modeling, and data architecture, preferably within the semiconductor industry or related high-tech sectors.
Hands-on experience building enterprise software with AI coding tools (examples: Cursor, Claude Code) and using ETL and data/warehousing/integration tools such as Snowflake, Databricks, NiFi, and Postgres.
Proficiency in SQL and Python.
At least 5+ years of cloud computing experience using AWS, Azure, or GCP; Azure preferred.
Experience with Infrastructure-As-Code and CI/CD automation, plus experience collaborating with international teams, particularly in China and India.

Technologies

Cursor, Claude Code
SQL, Python
Snowflake, Databricks, NiFi, Postgres
ETL, ELT
AWS, Azure, GCP
Infrastructure-As-Code, CI/CD

Location

Austin, TX (onsite)

Compensation

USD 75 per hour

Benefits

Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay

Additional Information

Weekly pay is provided, and upon completion of the waiting period, consultants are eligible for the benefits listed above.

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5d ago

Data Engineer 1

Kiewit Corporation Omaha, NE

Omaha, NE

5d ago

Full time Big Data Bigdata Cloud Data Engineering

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Job Description

Join Kiewit’s Data Platform team to help build and maintain data pipelines that deliver analytics-ready tables.

Responsibilities

Write and maintain SQL transformations and Python scripts for data ingestion and transformation workflows
Support ETL/ELT pipeline development and testing under the guidance of senior engineers
Contribute to code reviews, documentation, and testing practices that improve data trustworthiness
Collaborate with analysts, data architects, and business stakeholders to understand requirements and troubleshoot data issues
Learn and apply Kiewit’s data stack, including a cloud lake house plus orchestration and transformation tooling
Surface blockers, ask questions, and propose solutions as part of a collaborative team

Requirements

0–3 years of relevant experience (internships, academic or personal projects, or early-career work in data, analytics, or software)
Demonstrable experience through internships or project coursework involving data, analytics, and business stakeholders
Degree in Computer Science / Computer Science & Engineering, Data Science, or similar
SQL proficiency: basic joins, aggregations, and database normalization concepts
Python (or similar): comfortable writing scripts, using libraries like pandas, and understanding functions and OOP basics
Git/GitHub: used version control in a class project or personal repository; understands branches and PRs at least conceptually
High-level understanding of data pipelines, including ETL/ELT and batch vs. streaming
Comfort with the command line and navigating basic cloud/dev environments
Strong written communication skills to support documentation and async collaboration

Technologies

SQL, Python, pandas
Git, GitHub
ETL, ELT
Cloud lake house, orchestration, and transformation tooling
Azure, GCP, Databricks, dbt, Snowflake

Benefits

Top-tier medical, dental, and vision plans covering eligible employees and dependents
Voluntary wellness and employee assistance programs
Life insurance
Disability
Retirement plans with matching
Generous paid time off

Other Requirements

Regular, reliable attendance
Work productively and meet deadlines timely
Communicate and interact professionally with supervisors, employees, and others individually or in a team environment
Perform work safely and effectively; follow oral and written instructions, including warning signs, equipment use, and other policies
Work during normal operating hours to organize and complete work within given deadlines; overtime and weekends as required

Preferred Qualifications

Exposure to a cloud platform such as Azure or GCP
Familiarity with modern data tooling such as Databricks, dbt, Snowflake
Experience with data quality or testing frameworks
Coursework or project experience involving data warehousing or dimensional modeling

Location

Omaha, NE (onsite)
Based out of: 12312 Port Grace Blvd, La Vista, NE 68128
Not remote or hybrid

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6d ago

Data Engineer Stf - E4

Lockheed Martin Stratford, CT

Stratford, CT

6d ago

$118k - $219k/yr Full time Amazon Web Services Analytics Azure

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Job Description

Lockheed Martin offers a flexible onsite work arrangement in Stratford, CT, including options such as 4x10 schedules. This Data Engineering role spans end to end data delivery, with a focus on building reliable systems that can collect, ingest, process, store, persist, access, and deliver data at scale and speed. The position also includes a comprehensive benefits package covering medical, dental, vision, time off, parental leave, disability coverage, and multiple financial and educational support options.

Salary range: USD 118,000 - 219,100 per year.

Responsibilities

Deliver full-stack data solutions across the entire data processing pipeline.
Design and implement solutions across the full data lifecycle: collect, ingest, process, store, persist, access, and deliver data at scale and speed.
Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources ready for analysis.
Define data solution capabilities including security, backup, and recovery specifications.
Work through lifecycle stages such as analyzing and profiling data, producing conceptual, logical, and physical data model designs, and architecting and designing ETL, reporting, and analytics.
Maintain data system performance by identifying and resolving production and application development problems, calculating optimum parameter values, and evaluating, integrating, and installing new releases.
Define standards, best practices, and certification processes for data objects.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Data Science, or a related technical field; equivalent experience may be accepted in place of the degree.
3+ years building and maintaining data pipelines and processes in production.
Strong SQL skills and experience with relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.
Experience supporting reporting and analytics tools such as Tableau or SSRS.
Hands-on experience with data modeling and schema design.

Technologies

SQL, SQL Server, Oracle, PostgreSQL, MySQL
Tableau, SSRS
Python, Git, AWS, Azure, GCP
OpenShift, ETL

Desired Skills

Programming experience in Python.
Knowledge of Git and the software development lifecycle.
Knowledge of a major cloud platform: AWS, Azure, or GCP, including its data services.
Knowledge deploying and managing containerized data workloads on OpenShift.

Benefits

Medical, Dental, Vision
Flexible work arrangements and schedules (e.g., 4x10)
401(k) match
Paid time off, Holidays
Parental Leave
EAP
Flexible Spending Accounts
Education Assistance
Life Insurance
Short-Term Disability, Long-Term Disability
Annual short-term and/or long-term incentive compensation programs may be offered depending on the position

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6d ago

Junior Data Engineer

Brooksource Philadelphia, PA

Philadelphia, PA

6d ago

$27+/hr Full time Analytics Business Analytics Business Intelligence

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Job Description

Brooksource is hiring a Junior Data Engineer for a hybrid role in Philadelphia, PA to help build and support enterprise data pipelines and warehouse solutions.

Responsibilities

Develop, maintain, and optimize T-SQL queries, stored procedures, and scripts for data processing, ingestion, and reporting.
Build and maintain ETL workflows and data pipelines to ingest, transform, and load data from multiple sources.
Use SSIS and related technologies to support data integration and transformation.
Support the continued evolution of cloud-based data solutions with hands-on exposure to AWS data engineering technologies.
Assist with design and implementation of relational and dimensional data models, including star-schema structures for data warehousing.
Validate data throughout ingestion and transformation to ensure quality, accuracy, and consistency.
Contribute across the SDLC: requirements analysis, development, unit testing, UAT, deployment, and production support.
Perform unit testing and support User Acceptance Testing (UAT) for data transformations and business requirements.
Troubleshoot data pipeline, SQL, and data-quality issues and partner with senior engineers to identify solutions.
Use JIRA for ticket management, development tracking, and project workflows.
Support reporting and visualization using Tableau and Oracle BI (OBI).
Document data flows, transformations, technical processes, and business rules.
Follow established standards for data governance, privacy, security, and compliance.
Collaborate with engineers, analysts, and business stakeholders across varying technical levels.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related technical discipline.
Approximately 0–2 years of professional experience with SQL, databases, data engineering, analytics, or related technologies.
Working knowledge of SQL/T-SQL, including queries, joins, stored procedures, and relational database concepts.
Familiarity with ETL concepts and data integration processes.
Understanding of data warehousing and basic data modeling concepts, including dimensional modeling and star schemas.
Understanding of SDLC and software testing practices.
Strong analytical, critical-thinking, and problem-solving skills.
Ability to communicate effectively and work collaboratively within a technical team.
Strong interest in developing skills in AWS and cloud-based data engineering.

Technologies

T-SQL
ETL
SSIS
AWS
SQL
Tableau
Oracle BI (OBI)
JIRA

Benefits

Dental insurance
Health insurance
Vision insurance
401k plan with a company match; fully vested after you become eligible
Paid time off
Sick time
Paid company holidays
Employee Assistance Program (EAP) with services such as virtual counseling, financial services, legal services, and life coaching
Health Savings Account
Dependent Care FSA
Supplemental coverage

Pay: USD 27 per hourly.

Pay disclaimer: The pay range for this job level is a general guideline only and not a guarantee of compensation or salary.

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6d ago

Sr. Data Engineer

Elevate Plano, TX

Plano, TX

6d ago

$90k - $100k/yr Contract Azure Big Data Bigdata

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Job Description

Contract Sr. Data Engineer opportunity in Plano, TX (onsite) supporting enterprise data systems and large-scale data architecture.

Responsibilities

Build and optimize scalable data pipelines and ETL workflows for enterprise use cases
Design robust data models and integrate both structured and unstructured data
Partner with product, analytics, and engineering teams to maintain data availability and data quality
Use cloud platforms such as AWS, Azure, or GCP to support large-scale data architecture
Monitor pipeline performance and troubleshoot data integrity issues

Requirements

Proficiency in SQL and Python for data manipulation and implementation
Strong experience with cloud data platforms, including AWS Redshift and Azure Synapse (and similar)
Hands-on background with ETL tools, data modeling, and data warehouse design
Familiarity with data governance, version control, and CI/CD for data engineering workflows
Solid understanding of Git, Agile methods, and Jira

Technologies

SQL, Python
AWS, Azure, GCP
AWS Redshift, Azure Synapse
ETL, Git, CI/CD
Kafka, Kinesis
Spark, Hadoop
Jira

Preferred Qualifications

Experience with big data tools such as Spark and Hadoop
Familiarity with APIs and real-time data streaming using Kafka or Kinesis
Prior experience on enterprise-level projects or large system integrations