Senior Data Engineer 5489

Tier4 Group; Reston (VA); On-site; USD 120,000 - 150,000; Full time

Job summary

Tier4 Group in Reston, VA is seeking a Senior Data Engineer to design, build, and optimize enterprise-scale data solutions in a modern cloud environment.

You will create robust data pipelines, ensure data quality, and enable analytics across technology and business teams. Onsite work 3 days a week; W2 full-time; sponsorship not available.

Qualifications

• 5+ years of hands-on Data Engineering experience in production environments.
• 5+ years designing enterprise data pipelines and integrations.
• Strong ETL/ELT development, data modeling, and warehousing knowledge.
• Advanced SQL skills and Python development experience.
• Bachelor's degree in CS, Data Eng, Math, Stats, or related field.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines across multiple data sources.
• Develop cloud-based data solutions using Azure data technologies.
• Implement data cleansing, transformation, validation, and enrichment processes.
• Establish and automate data quality monitoring and governance standards.
• Build dimensional models, fact tables, and analytics-ready datasets.
• Support enterprise data cataloging, lineage, and metadata management initiatives.
• Monitor and improve data pipeline performance, reliability, and observability.
• Collaborate closely with business leaders, analysts, and technical teams to deliver high-impact data products.
• Participate in production support and on-call responsibilities as needed.

Skills

SQL

Python

Data Analysis

Data Quality

Education

Bachelor's degree in Computer Science / Data Engineering / Mathematics / Statistics

Tools

Databricks

Unity Catalog

Power BI

Bash scripting

Job description

Location: Reston, VA (Onsite 3 Days Per Week)

Employment Type: Full-Time. W2 Only, No sponsorship available

Tier4 Group isseeking a highly skilled Senior Data Engineer to drive the design, development, and optimization of enterprise-scale data solutions. This role is ideal for an engineer who thrives in modern cloud data environments and enjoys building robust data pipelines, ensuring data quality, and enabling advanced analytics across the organization.

You’ll play a key role in transforming raw data into trusted, business-ready assets while partnering with stakeholders across technology and business teams.

What You’ll Do

• Design, build, and optimize scalable ETL/ELT pipelines across multiple data sources.
• Develop cloud-based data solutions using Azure data technologies.
• Implement data cleansing, transformation, validation, and enrichment processes.
• Establish and automate data quality monitoring and governance standards.
• Build dimensional models, fact tables, and analytics-ready datasets.
• Support enterprise data cataloging, lineage, and metadata management initiatives.
• Monitor and improve data pipeline performance, reliability, and observability.
• Collaborate closely with business leaders, analysts, and technical teams to deliver high-impact data products.
• Participate in production support and on-call responsibilities as needed.

What We’re Looking For

Required Experience

• 5+ years of hands‑on Data Engineering experience supporting production data environments.
• 5+ years designing and maintaining enterprise data pipelines and integrations.
• Strong experience with ETL/ELT development, data modeling, and data warehousing concepts.
• Advanced SQL skills and strong Python development experience.
• Experience performing data analysis, profiling, and data quality initiatives.
• Bachelor's degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical field.

Technical Expertise

• Databricks
• Unity Catalog

Programming

• SQL
• Bash scripting (nice to have)

Data & Analytics

• Data Modeling
• Data Warehousing
• Data Governance & Lineage
• Power BI

DevOps & Monitoring

• Datadog, Grafana, Prometheus, or similar tools

Preferred

• Experience within Financial Services, Banking, Capital Markets, or other highly regulated environments.
• Experience with Microsoft Purview or similar data governance platforms.
• Advanced degree in a related field.

Why This Role?

• Work on enterprise‑scale data platforms and cloud modernization initiatives.
• Influence the design and architecture of mission‑critical data solutions.
• Partner with senior stakeholders to drive data strategy and innovation.
• Competitive compensation package including bonus opportunity.
• High‑visibility role with significant impact across the organization.