Lead Data Engineer
full-time
Salary
9% above average
Ghost Score
No category data
Freshness
Posted 3 weeks ago
Required Skills
SQL
Dimensional and semantic data modeling
Dbt
ETL/ELT pipeline design and operation
Orchestration tools (Airflow
Dagster
AWS Step Functions)
Data quality frameworks (dbt tests
Great Expectations)
Python for data engineering (Pandas
PySpark)
Automated testing and packaging
Analytics outputs delivery and KPI definition
API protocols (REST
GraphQL)
AI coding assistants in SDLC
Retrieval-augmented LLM or agent workflows
CI/CD for data code
Git/GitHub workflows
Containerization
Infrastructure as Code (Terraform)
Agile methodologies
DataOps/DevOps best practices
Streaming and telemetry tools (Kinesis
Kafka
Splunk)
Cost/performance optimization for high-volume workloads
AWS certification
Problem solving
Communication
Interpersonal skills
5+ years experience
Job Description
Match: 62% | Exp: 66% | Skill: 47% | Industry: 44%
Ghost Score Breakdown
Very short description
+ ptsNo company logo
+ ptsRecent posting (8-14 days)
+ ptsSalary range disclosed
+ ptsKnown scam/ghost company
Reposted listing
Expired deadline
High job-to-employee ratio
Overall: 13/100Low Ghost Risk
Application Tips
- This position offers a salary of $140K/yr - $170K/yr.
- Top skills mentioned: SQL, Dimensional and semantic data modeling, Dbt. Make sure your resume highlights these.
- This listing shows strong signals of being a real opportunity — apply with confidence.