Senior Data Engineer

Overview
We are seeking an experienced Sr. Data Engineer to design, build, and maintain scalable data pipelines that power our core data infrastructure. This role focuses on integrating external data sources, ensuring data quality, and delivering clean, reliable pipelines that support rapid business growth.

You will work heavily with Python, SQL, APIs, AWS, Snowflake, and DBT, building automated workflows for data ingestion, cleaning, deduplication, entity resolution, and data transformation. This is a high-ownership, high-impact role ideal for someone with a startup mindset, strong autonomy, and deep data engineering expertise.

Responsibilities

• Build and maintain scalable, high-performance data pipelines.
• Integrate external datasets with internal systems using Python and SQL.
• Develop workflows for data cleaning, deduplication, and entity resolution.
• Work with relational and graph data to map relationships and connections.
• Diagnose and resolve data quality issues across systems.
• Automate ingestion processes and pipeline orchestration.
• Collaborate with product, analytics, and engineering teams.

Required Experience

• 15-20 years of Data Engineering experience (big tech preferred).
• Expert-level Python programming skills.
• Advanced SQL and query optimization experience.
• Proven experience designing and scaling data pipelines.
• Strong understanding of API integration, ingestion, and transformation processes.
• AWS fundamentals (Step Functions, CloudWatch, S3).
• Excellent communication and ability to work independently.
• Must be US-based.

Technical Skills

• Python (5+ years)
• SQL (5+ years)
• API data sourcing & ingestion
• Snowflake + DBT (preferred)
• AWS Step Functions, CloudWatch, S3
• Data pipeline design & orchestration

Nice to Have

• Experience with DBT
• Spark / PySpark
• Startup environment background
• Employee benefits or market intelligence domain experience
• Data quality management frameworks
• Ability to transition from large enterprise to startup-style execution

Job Type: Full-time

Pay: $180, $245,761.28 per year

Benefits:

• 401(k) matching
• Dental insurance
• Health insurance
• Vision insurance

Application Question(s):

• How many years of Python programming do you have specifically for data ingestion, automation, or pipeline development?
• Do you have experience integrating external APIs into data pipelines (pulling/sourcing data at scale)?
• Do you have 15+ years of Data Engineering experience, including building and scaling data pipelines?

Work Location: Remote