Data Engineer

Cloud7Works; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

A leading IT solutions provider is seeking a Data Engineer to design and maintain scalable data pipelines, integrating data from various sources. Candidates should have 3-5+ years of experience in data engineering with skills in SQL and Python, and be proficient in ETL/ELT processes using tools such as Apache Airflow and Spark. This role involves working on API-driven systems and supports critical government applications. Join us for an opportunity to make a meaningful impact.

Qualifications

• 3-5+ years in data engineering or backend data systems.
• Experience leading data pipeline projects.
• Proficient in SQL and Python or Scala.

Responsibilities

• Design and maintain scalable data pipelines.
• Map, validate, and transform data sources.
• Support data integration for application lifecycle modernization.

Skills

Data pipeline optimization

ETL/ELT pipeline development

SQL

Python

Containerization

Tools

Apache Airflow

Spark

Kafka

Databricks

Docker

Job description

Data Engineer

About us

Cloud7Works is a leading provider of IT solutions for government entities. Leveraging the latest technologies and best practices, we deliver secure, compliant, and innovative solutions that support the critical missions of our government partners.

About the role

Cloud7Works, Inc, a fast-growing small business is seeking a Data Engineer.

Responsibilities include (but are not limited to):

The Data Engineer shall be responsible for designing, developing, integrating, and sustaining enterprise data pipelines and services that support API-driven systems, AI-enabled workflows, and mission-critical government applications. Responsibilities include, but are not limited to, the following:

• Design, build, and maintain scalable data pipelines that integrate data from modern databases, legacy flat files, and heritage systems.
• Map, validate, and transform legacy and modern data sources to ensure consistent, accurate, and secure access through APIs.
• Support data integration efforts related to application lifecycle modernization and command-code replacement initiatives.

Qualifications:

• Experience & Leadership: 3–5+ years in data engineering or backend data systems, with experience leading data pipeline projects and mentoring junior engineers.
• Data Pipeline Expertise: Proficient in building and optimizing ETL/ELT pipelines using tools like Apache Airflow, Spark, dbt, Kafka, Databricks, or Flink.
• Tech Stack & Tools: Strong skills in SQL, Python or Scala, and working with data warehouses (Snowflake, BigQuery, Redshift) and data lakes (e.g., Delta Lake, Lakehouse architecture).
• Infrastructure & Ops: Familiar with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), and orchestration, with experience in CI/CD and data versioning (e.g., DVC).
• Bonus/Preferred: Experience with real-time data processing, cataloging, data governance, privacy/compliance (GDPR, HIPAA), and cross-functional collaboration with analytics, ML, or BI teams.