Data Engineer
About The Position
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. "If you are: bright, motivated, skilled, a difference-maker, able to get things done, work with minimum direction, enthusiastic, a thinker, able to juggle and multi-task, communicate effectively, and lead, then we would like to hear from you. We need exceptionally capable people for this role for our client, so get back to us and tell us why you think you are a fit." About Us: Since 2000, Tri-Force Consulting Services (https://triforce-inc.com) has been an MBE/SDB certified IT Consulting firm in the Philadelphia region. Tri-Force specializes in IT staffing, software development (web and mobile apps), systems integration, data analytics, system automation, cybersecurity, and cloud technology solutions for government and commercial clients. Tri-Force works with clients to overcome obstacles such as increasing productivity, increasing efficiencies through automation, and lowering costs. Our clients benefit from our three distinguishing core values: integrity, diligence, and technological excellence. Tri-Force is a six-time winner among the fastest-growing companies in Philadelphia and a four-time winner on the Inc. 5000 list of the nation's fastest-growing companies.
Requirements
- 3–5+ years in data engineering or backend data systems, with experience leading data pipeline projects and mentoring junior engineers.
- Proficient in building and optimizing ETL/ELT pipelines using tools like Apache Airflow, Spark, dbt, Kafka, Databricks, or Flink.
- Strong skills in SQL, Python or Scala, and working with data warehouses (Snowflake, BigQuery, Redshift) and data lakes (e.g., Delta Lake, Lakehouse architecture).
- Familiar with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), and orchestration, with experience in CI/CD and data versioning (e.g., DVC).
Nice To Haves
- Experience with real-time data processing, cataloging, data governance, privacy/compliance (GDPR, HIPAA), and cross-functional collaboration with analytics, ML,or BI teams.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees
