Sr. Data Engineer, Rev Ops
MiQ Digital8 days ago
Base Salary
$150k - $195k/yr
Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines for Revenue Operations and BI reporting.
- Own Databricks Unity Catalog structure and health, including catalog design, access control, lineage, governance, and sensitive-data handling.
- Model commercial data into reusable trusted layers and define metrics that prevent reporting discrepancies and double-counting.
- Build data quality checks, observability, monitoring, delivery SLAs, and incident response for business-critical pipelines.
- Optimize pipeline and snapshot performance, reliability, load times, and compute costs, including materialization strategies and catalog restructuring.
- Establish upstream data standards and contracts covering schemas, freshness, ownership, documentation, and breaking-change prevention.
- Integrate first- and third-party CRM, conversation intelligence, marketing automation, and BI sources into the warehouse.
- Document technical and non-technical decisions, translate trade-offs for business audiences, set engineering standards, and mentor teammates.
Requirements
- 5+ years of experience building and operating production data pipelines with ownership across ingestion, transformation, quality, governance, and serving.
- Expert SQL, strong Python, and hands-on Spark/PySpark experience.
- Strong data modeling and warehousing fundamentals, including dimensional modeling and snapshot/slowly changing dimension patterns.
- Deep Databricks experience, including Unity Catalog governance, Delta Lake, medallion architecture, incremental ingestion, pipeline tuning, and AWS experience with S3 and IAM.
- Experience with orchestration and deployment tools such as dbt, Airflow, or Databricks/Lakeflow Jobs, plus Git-based version control.
- Experience with data reliability, testing, freshness and schema-drift monitoring, anomaly detection, production troubleshooting, and on-call ownership.
- Knowledge of data governance and security fundamentals, including access control, lineage, and sensitive or PII data handling.
- Experience integrating CRM and SaaS data into warehouse layers using ELT patterns, API pagination, incremental loads, and schema-drift handling.
- Track record of cleaning up data catalogs and improving load times, reliability, and compute costs through better structure and modeling.
- Strong first-principles problem solving, technical leadership, communication, independent execution, and collaboration across time zones.
- Preferred qualifications include Databricks Data Engineer certification, Monte Carlo or Great Expectations experience, formal data contracts, ad tech or B2B go-to-market domain knowledge, BI and semantic-layer exposure, and AI-ready data pipeline experience.
Benefits
- Medical, dental, and vision health benefits with HSA and FSA options.
- Company-paid basic life and long-term disability insurance.
- Employee Assistance Program, paid maternity and paternity leave, and a Nursing Mother’s Program.
- Generous paid time off in addition to paid holidays.
- Tax-free commuter, health, and dependent-care benefits.
- Continuous education and training.
- Open-office and casual work atmosphere.
- The role is listed in Chicago/US; the team collaborates across UK and India time zones.
- For individuals assigned or hired to work in New York, the stated base salary range is $150,000–$195,000, excluding bonus and commission structures.
Tech Stack
Categories
Data Engineering
About MiQ Digital
MiQ Digital provides programmatic media and analytics services for brands and advertising agencies, using an agnostic approach across major buying platforms and channels including CTV and digital. It sells managed-service campaign planning, activation, and measurement, plus data science and media analytics, typically priced on media spend and service fees. Founded in 2010 and headquartered in London, it operates globally as a privately held company.