Data Engineer jobs in United States
Explore 885 matching jobs.
Senior Data Engineer
Thomson Reuters
Posted: 10/21/2026Senior Software Engineer, Data Infrastructure – RDBMS
TRM Labs
Posted: 10/21/2026Databricks Data Engineer – Data Contracts, OCDS
Scicom Infrastructure Services
Posted: 10/21/2026Senior/Staff Backend Engineer, Platform & Data Ingestion
Verana Health
Posted: 10/21/2026Data Engineer Internship
American Family Insurance
Posted: 10/21/2026Controls Engineer – Data Centers
Barry-Wehmiller
Posted: 10/21/2026Financial Management Data Engineer
Guidehouse
Posted: 10/21/2026Manager, Data Engineering
Capital Blue Cross
Posted: 10/21/2026Senior Data Engineer, Payments
Airbnb
Posted: 10/21/2026Data Engineer I, Databricks, MLOps
Travelers
Posted: 10/21/2026Manager, Data Engineering
Association of American Medical Colleges (AAMC)
Posted: 10/21/2026Senior Data Engineer
The Ohio State University, Main Campus
Posted: 10/21/2026Software Engineer, Data Platform Lead – Horizon AI
STN Incorporated
Posted: 10/21/2026Data Engineer
General Dynamics Information Technology
Posted: 10/21/2026Staff Software Engineer – Data Acquisition
WEX
Posted: 10/21/2026Principal Data Architect
Public Partnerships | PPL
Posted: 10/21/2026Data Engineer/Architect
Leidos
Posted: 10/21/2026Principal Engineer – Data Science
Verizon
Posted: 10/21/2026Principal Engineer – Data Science
Verizon
Posted: 10/21/2026Lead Cloud Data Engineer
Baptist Health
Posted: 10/21/2026
Senior Data Engineer
Thomson ReutersCore Competencies
Role fitUse this summary to align your resume positioning with the role.
Demonstrates expertise in leading the architecture and development of data pipelines and reporting solutions using DBT, SQL, Python, and advanced AI technologies. Proven ability to analyze complex datasets and deliver actionable insights while mentoring team members and collaborating with stakeholders.
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Lead the architecture, development, design, and maintenance of complex data pipelines, frameworks, and dashboards
- Build reporting solutions using DBT, SQL, Python, Claude.AI, Power BI, Tableau, Excel, and PowerPoint
- Integrate advanced AI solutions into reporting processes
- Partner with senior stakeholders to define reporting needs and deliver actionable insights
- Implement AI and machine learning techniques for predictive and prescriptive insights
- Analyze large, complex datasets to identify trends, patterns, and anomalies
- Establish and enforce data integrity, accuracy, and governance best practices
- Mentor and train team members and stakeholders on reporting tools, analytical methods, and AI technologies
- Drive continuous improvement and contribute to the technical roadmap
- Present complex findings and strategic recommendations to executive stakeholders
- Lead data projects from conception through deployment
- Serve as a subject matter expert and technical escalation point for data analysis and reporting
Requirements
What you’ll need- Bachelor’s degree in Engineering, Data Science, Computer Science, Statistics, Business Analytics, or a related field
- 5+ years of progressive experience in data engineering or a similar role
- Proven track record leading complex reporting and dashboard projects and delivering business intelligence solutions
- Expert proficiency in DBT, SQL, Alteryx, Snowflake, Power BI, Tableau, Python, Excel, and PowerPoint
- Hands-on experience designing, implementing, and operationalizing AI solutions and machine learning algorithms
- Exceptional data analytical, critical thinking, and problem-solving skills
- Outstanding communication, presentation, and influencing skills
- Ability to interpret complex data and translate it into strategic business insights
- Preferred: proven ability to lead technical initiatives, operate autonomously, collaborate in a team environment, and mentor junior colleagues
- Preferred: advanced proficiency in Python or R
- Preferred: expert-level SQL, Snowflake, and DBT skills
- Preferred: understanding and practical experience with data warehousing, ETL, data governance, Claude.AI, Copilot, and LLMs
- Master’s degree is a strong plus
Benefits
Comp & perks- Hybrid working environment for office-based roles
- Work from anywhere for up to 8 weeks per year
- Flexible vacation
- Two company-wide Mental Health Days off
- Headspace app access
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Mental, physical, and financial wellbeing resources
- Two paid volunteer days off annually
- Pro-bono consulting projects and ESG initiatives
- US health, dental, vision, disability, and life insurance programs
- Competitive 401(k) plan with company match
- Sick and safe paid time off
- Paid holidays, including two company mental health days off
- Parental leave
- Sabbatical leave
- Optional hospital, accident and sickness insurance
- Optional life and AD&D insurance
- Flexible Spending and Health Savings Accounts
- Fitness reimbursement
- Employee Assistance Program
- Group Legal Identity Theft Protection benefit
- 529 Plan access
- Commuter benefits
- Adoption & Surrogacy Assistance
- Employee Stock Purchase Plan
- Eligible for an Annual Bonus based on enterprise and individual performance
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