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Analytics Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Harnham
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

Additional compensation types
  • Annual Bonus
  • Direct message the job poster from Harnham

Build and own the data infrastructure that transforms raw, unstructured data into reliable datasets powering analytics and decision-making across the organization. This role blends data engineering and analytics, focusing on creating scalable ETL pipelines, data models, and dashboards that deliver actionable insights to engineering and product teams.

Key Responsibilities
  • Design and build ETL pipelines that transform raw, unstructured data from multiple sources into clean, reliable datasets
  • Develop and maintain data models and transformations that support analytics, reporting, and ML workflowsli>
  • Create and optimize SQL queries for data extraction, analysis, and performance tuning
  • Build and maintain dashboards and visualizations in Grafana to enable self-service analytics across teams
  • Orchestrate data pipelines using Airflow, ensuring reliability, monitoring, and scalability
  • Collaborate with engineering, product, and business teams to understand data requirements and deliver analytics solutions
  • Establish data quality standards, testing frameworks, and documentation for pipeline reliability
Requirements
  • 3+ years of professional experience in analytics engineering, data engineering, or related roles
  • Strong proficiency in SQL for complex queries, data modeling, and optimization
  • Hands‑on experience with Python and data processing libraries (
    Pandas
    , Polars
    )
  • Production experience building and maintaining ETL pipelines at scale
  • Proven experience with Airflow for workflow orchestration and pipeline management
  • Experience building dashboards and visualizations using Grafana
    , Looker, Tableau, or similar tools
  • Experience with Click House for real‑time analytics (or Snowflake, Redshift, Big Query)
  • Ability to work with raw, unstructured data from diverse sources and design robust transformation logic
Seniority level
  • Associate
Employment type
  • Full‑time
Job function
  • Engineering and Analyst
Industries
  • Technology, Information and Media and Robotics Engineering

Referrals increase your chances of interviewing at Harnham by 2x

Inferred from the description for this job
  • Medical insurance
  • Vision insurance
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