Job Title: - Senior Data Engineer
Location: - Spring Texas (On-Site)
Job Type: - Long Term Contract
Interview: - 1st Round – 30 Mins and 2nd Round will be F2F Interview
Must be local and ready for onsite interview
Rate: $70 on W2
Why is the position open?
· This role is for a backfill. Previous contractor was in the role for 3 years.
What is Scott and Adam looking for?
· This is NOT a traditional “tool-based” data engineer.
· They want:
· A Data Engineer who came from a Software Engineering background
· Strong fundamentals over “checkbox tools”
· Someone battle-tested in enterprise environments
Key personality traits:
· Data-curious (Scott gave the example of how he codes and plays with data for fun in his free time)
· Accountable
· Strong communicator (written & verbal)
· Follows process (no shortcuts)
· Mentor mindset
· “Done > perfect” mentality
· Comfortable working fast with iterative delivery What are the must-have technical requirements?
o Software Engineering Foundation
o Strong understanding of:
o SOLID principles
o Design patterns
o Scalable, reusable architecture
· Experience in:
· Test-driven development (TDD)
· Agile environments
· CI/CD pipelines
· Python proficiency (real engineering use cases, not scripting only)
· Data Engineering Skills
· Extensive experience building ELT pipelines
· Experience loading data source ? target DB at scale
Strong knowledge of:
· Partitioning strategies
· Incremental loading
· CDC (Change Data Capture)
· Idempotency
· Performance tuning & cost awareness
· Familiar with Medallion Architecture (Bronze / Silver / Gold)
· Cloud & Platform Stack (Very Important)
· AWS
· S3 (semi/unstructured data)
· Iceberg
· Snowflake
· Structured environment
· Strong SQL skills required:
· INSERT / UPDATE / DELETE / MERGE
· Partition management
· Current environment includes:
· Airflow (Astronomer – on-prem today)
· dbt
· SQL Server
· Dremio
· Major cloud migration planned for 2026–2027
Data Analyst / Validation Expectations
· Candidate must be able to:
· Independently validate & reconcile data
· Write complex SQL without assistance
· Catch and fix data issues before business escalation
· Data feeds executive dashboards
· CEO reviews data daily at 8am
· Accuracy is critical
Nice-to-Haves / Differentiators
· Midstream oil & gas experience (big plus)
· Upstream / Midstream / Downstream
· Supply chain / logistics experience
· Chemical engineering background
· GitHub or personal projects (must be non-proprietary)
· Knowledge of machine learning concepts
· Not a ML role
They feed ML models; they don’t build them