Job Location: Remote
Numerator is a data and tech company bringing speed and scale to market research. Headquartered in Chicago, IL, Numerator has more than 2,000 employees worldwide. The company blends proprietary data with advanced technology to create unique insights for the market research industry that has been slow to change. The majority of Fortune 100 companies are Numerator clients.
Here at Numerator, we’ve made all corporate roles have maximum flexibility between office and remote work, except for rare situations when the role requires coming into an office regularly. In those situations, the recruiter of that role will clarify at the beginning of the process if that is the case. In fully remote situations, the company will provide technical equipment necessary to be successful in the role. In addition to maximum flexibility of return-to-office, the company also provides generous PTO, Internally Quiet Focus Time, and other recharge efforts to give time back to employees.
Job Description
We’re hiring a Data Engineer and Big Data enthusiast to help ensure our data quality is flawless. You’ll work with a passionate team of engineers to solve challenging problems and deliver the best data to our customers on time. You’ll also be using the latest cloud data warehouse technology to build robust and reliable data pipelines.
Duties/Responsibilities Include:
- Develop expertise in the different upstream data stores and systems across Numerator
- Design, develop and maintain data integration pipelines for Numerators growing data sets and product offerings.
- Collaborate with product and engineering teams to take requirements from prototype to production
- Build data validation testing frameworks to ensure high data quality and integrity
- Write and maintain documentation on data pipelines and schemas.
Skills & Requirements
- BS or MS in Computer Science or related field of study
- 8+ years of experience in the data warehouse space and managing complex projects with three years experience in leading a software engineering team.
- Hands-on, yet have chosen management as a career path.
- Experience managing a high-functioning, collaborative team of engineers that deliver scalable systems.
- Knowledge of software engineering best practices across the development lifecycle, coding standards, code reviews, source management, build processes, testing, and operations
- Knowledge of and experience implementing data security and governance best practices
- Expert in SQL, including advanced analytical queries, window functions, CTEs, and query optimization
- Advanced proficiency in Python (data structures, algorithms, object-oriented programming, using APIs) Experience administering a cloud data warehouse (Redshift, Snowflake, Vertica)
- Experience with a data pipeline scheduling framework (Airflow)
- Experience with schema design and dimensional data modeling
Exceptional candidates will have:
- Amazon Web Services (EC2, DMS, RDS) experience
- Terraform and/or ansible (or similar) for infrastructure deployment
- Airflow – Experience building and monitoring DAGs, developing custom operators, and using script templating solutions
- Experience supporting production systems and developing on-call/incident management playbooks
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