Senior Data Engineer I
Pax8
No matter who you are, Pax8 is a place you can call home. We know there’s no such thing as a “perfect" candidate, so we don’t look for the right "fit" – instead, we look for the add. We encourage you to apply for a role at Pax8 even if you don’t meet 100% of the bullet points. We believe in cultivating an environment with a diversity of perspectives, in hopes that we can all thrive in an inclusive environment.
We are only as great as our people. And we have great people all over the world. No matter where you live and work, you’re a part of the Pax8 team. This means embracing hybrid- and remote-work whenever possible.
Position Summary:
The Sr. Data Engineer I designs, develops, tests, deploys, maintains, and improves systems that collect, transform, store, and manage data for end users. They deliver individual projects based on deadlines and required deliverables. The Sr. Engineer I builds complex features independently and collaborates with other teams to conduct design and code reviews. They develop and/or provide technical leadership in the development of data systems involving the application of new technologies with significant technical risk. The Sr. Engineer I prepares detailed plans, which may span over a year for complex projects. They determine test philosophy, goals, and objectives, and participate in the formation of project goals, scope, and schedule.
Essential Responsibilities:
- Define, build, test, and implement scalable data pipelines using Python and SQL.
- Transforms data to support varied use cases.
- Includes testing in all aspects of the development process.
- Mentors junior and mid-level Engineers.
- Optimizes existing data pipelines and improves existing code quality.
- Makes updates and improvements to deployment processes.
- Participates in project planning and architecture discussions.
- Analyzes potential problems and find solutions to pressing data issues.
- Participates in on-call rotation.
Ideal Skills, Experience, and Competencies:
- At least four (4) years of relevant data engineering experience.
- Advanced experience with Python.
- Expert experience with SQL.
- Intermediate experience with a JVM language.
- Exposure to other software development languages.
- Advanced experience with Apache Spark or other distributed processing engines.
- Advanced experience with Apache Kafka or other stream processing frameworks.
- Advanced experience with job orchestration and/or ETL tools such as Airflow, Prefect, Glue, Talend or Informatica.
- Intermediate experience with Terraform, Docker, Kubernetes, or other similar infrastructure tooling.
- Advanced experience with cloud environments such as AWS, Azure, or Google Cloud.
- Advanced experience with analytical databases such as Redshift, Athena, Big Query, and Presto.
- Intermediate experience with building CI/CD pipelines.
- Effective problem-solving and troubleshooting abilities
- Ability to consistently achieve results, even under tough circumstances.
- Effective technical leadership abilities.
- Excellent verbal and written communication skills.
- Experience with innovative application design and implementation.
- Ability to make sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.
Required Education & Certifications:
- B.A./B.S. in a related field or equivalent work experience.
- M.S./M.A. in a related field preferred.
Compensation:
- Qualified candidates can expect a salary beginning at $135,000 or more depending on experience
#LI-Remote #LI-JF1 #Dice-J
- Non-Commissioned Bonus Plans or Variable Commission
- 401(k) plan with employer match
- Medical, Dental & Vision Insurance
- Employee Assistance Program
- Employer Paid Short & Long Term Disability, Life and AD&D Insurance
- Flexible, Open Vacation
- Paid Sick Time Off
- Extended Leave for Life events
- RTD Eco Pass (For local Colorado Employees)
- Career Development Programs
- Stock Option Eligibility
- Employee-led Resource Groups