Interplay Learning · 1 week ago

Senior Data Analytics Engineer

United States

Full-time

Remote

Senior Level

$135K/yr - $135K/yr

2+ years exp

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Responsibilities

Manage transformations of raw data through both technical processes and business logic using dbt.

Write thorough documentation needed to implement self-service analytics.

Write tests and analyses to monitor and improve data quality.

Build dashboards and models in their BI platform (Omni).

Collaborate with cross-functional teams to define, design, and ship high-quality data products.

Complete ad-hoc data requests with an eye towards making them into reusable tools.

Become an expert in how the business runs and empower the various departments with the data they need to make the right decisions.

Collaborate with technical and non-technical stakeholders, bridging the gap between a business problem and technical solution.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLDbtBI ToolsData WarehousesSoftware EngineeringGitTestingCode ReviewsData Warehouse MethodologiesDimensional Data ModelingMentoringFull-Stack MindsetProblem-SolvingLeadershipCommunicationTeamworkPythonEngineering Best PracticesData Quality TestsUnit TestsRevenue/SalesMarketingCustomer Success/Support

Required

Deep expertise with SQL. You can write/read complex queries, troubleshoot accuracy issues, and tune performance for speed and cost.

Production experience with dbt.

Solid experience with BI tools like Looker or Omni.

Familiarity with one of the data warehouses like Big Query, Snowflake, Redshift, Databricks (We use BigQuery).

Have a software engineering mindset and toolkit - git, testing, code reviews.

Mastery of data warehouse methodologies and techniques from transactional databases to dimensional data modeling, and wide denormalized data marts.

A track record of leading and mentoring less experienced developers. You are eager to teach others and invested in the growth of your team.

Worked asynchronously as part of a fully-remote, distributed team.

A "full-stack mindset", not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.

Candidates must be authorized to work in the United States for any employer without stipulations and be residents of the United States.