Enhance systems by building new data integration pipelines and adding new data to our data lakes and warehouses while continuously optimizing them.
Work with internal team members and stakeholders to scope out business requirements and ensure data deliverables are met.
Champion coding standards and best practices by participating in code reviews and improving internal tools and build processes.
Ensure the security and stability of infrastructure in a multi-cloud environment.
Collaborate with Analytics engineers to ensure data integrity and quality of data deliverables.

Requirements

Degree in a quantitative field, such as computer science, statistics, mathematics, engineering, data science, or equivalent experience.
A minimum of 5+ years of experience in building and optimizing data pipelines with Python.
Experience writing complex SQL queries to analyze data.
Familiarity with window functions and nested subqueries.
Commendable experience with at least one cloud service platform (GCP and AWS preferred).
Experience with data at scale using Apache Spark, Beam or a similar framework.
Familiar with data streaming architectures using technologies like Pub/Sub and Apache Kafka.
Willingness to learn about new tech stacks, big data technologies, and data pipelining architectures.

Benefits

medical, dental, vision, prescription drug coverage
unlimited paid time off (PTO)
adoption or surrogate assistance
donation matching
tuition reimbursement
basic life insurance
basic accidental death & dismemberment
supplemental life insurance
supplemental accident insurance
commuter benefits
short term and long term disability
health savings and flexible spending accounts
family care benefits
a generous 401K savings plan with a company match program
10-12 paid holidays annually
generous paid parental leave (birthing and non-birthing parents)
voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data integrationdata pipelinesPythonSQLwindow functionsnested subqueriesApache SparkApache Beamdata streamingPub/Sub

Soft Skills

collaborationcommunicationproblem-solvingattention to detailadaptability