Senior Data Engineer — Cloud Data Platform & ETL Expert

Metas Solutions; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Job summary

Metas Solutions in the DC metro area is seeking a Senior Data Engineer to design, build, and maintain enterprise-grade data pipelines and data platforms that inform executive decision-making. You will work with data scientists, engineers, and governance teams to ensure scalable, secure analytics across APIs, databases, and lakehouse environments such as Databricks and Azure Data Factory.

Candidates should have 8+ years in data or software engineering, strong Python/SQL skills, and experience

Qualifications

• 8+ years of experience in data engineering, software engineering, or database architecture.
• 6+ years of Python and SQL with experience building scalable ETL/ELT pipelines.
• 2+ years of experience with cloud data ecosystems like Azure Data Factory.
• 1+ years of experience with modern data processing frameworks like Databricks.
• Experience with integrating and transforming data from diverse formats and systems (APIs, flat files, relational sources).
• Knowledge of relational and NoSQL databases, data modeling, and schema design.
• Knowledge of data governance, security, and compliance principles for enterprise data environments.
• Bachelor's degree in computer science, Engineering, Information Systems, or a related, quantitative field.

Responsibilities

• Design, implement, and maintain enterprisegrade ETL/ELT pipelines using Python and SQL
• Build, optimize, and manage data models, warehouses, and Lakehouse environments (e.g., Databricks)
• Develop processes for ingesting, cleaning, validating, and transforming largescale datasets from APIs, relational sources, and unstructured systems
• Implement data quality, metadata management, and governance controls to ensure consistency and trust in analytics workflows
• Collaborate with cloud engineering teams to deploy and manage data solutions on Azure
• Monitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices
• Document data architecture, pipeline logic, and operational procedures to enable team collaboration and maintainability

Skills

Python

SQL

ETL/ELT pipelines

Data modeling

Data governance

Security/compliance

Education

Bachelor's degree in CS/Engineering/IS or related field

Tools

Databricks

Azure Data Factory

Job description

Metas Solutions in the DC metro area is seeking a Senior Data Engineer to design, build, and maintain enterprise-grade data pipelines and data platforms that inform executive decision-making. You will work with data scientists, engineers, and governance teams to ensure scalable, secure analytics across APIs, databases, and lakehouse environments such as Databricks and Azure Data Factory.

Candidates should have 8+ years in data or software engineering, strong Python/SQL skills, and experience