Analytics Engineer

Packback

Analytics Engineer role at Packback focusing on data analytics and insights for education. Collaborating with teams to create pipelines and dashboards for data-driven decision making.

Posted 7/10/2026full-timeRemote • Alabama, Arizona, California, Colorado, Connecticut, Florida, Hawaii, Illinois, Iowa, Kentucky, Maryland, Massachusetts, Missouri, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Rhode Island, South Carolina, Texas, Virginia, Washington, Wisconsin • 🇺🇸 United StatesJuniorMid-Level💰 $108,000 - $120,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftBigQueryPythonSQLTableau

About the role

Key responsibilities & impact

Consult with teams across the organization to translate key product and business processes into technical data requirements. Use dbt, BigQuery, and SQL to build up Packback’s metrics layer to enable self-serve access to core analytics.
Build, optimize, and orchestrate data pipelines with dbt, Airflow, and Python
Establish data integrity standards and SLAs to ensure timely, accurate delivery of data
Build insightful and reliable dashboards to track performance of core company metrics across the product and business
Collaborate with business operations teams to define and train on best practices with respect to data modeling, analytics, and visualization
Collaborate with leadership to conduct analyses and apply statistical methods to answer day-to-day questions or support larger initiatives
Work within Packback’s research function with partner institutions and perform in-depth analyses to understand how Packback’s products are driving key student outcomes
Consult on the adoption of new technologies that impact Packback’s data infrastructure

Requirements

What you’ll need

At least 2 years of experience in an analytics focused role - analytics engineer, data engineer, or analyst/consultant with a strong technical background
Expert with SQL and experience with Python or other scripting languages
Experience using dbt in a modern data warehouses (BigQuery, Redshift, Snowflake, etc.)
Experience with software development best practices applied to data (CI/CD, automated testing, version control)
Strong story-teller with data and experience with visualization tools (Lightdash, Looker, Tableau, PowerBI, etc.)
Strong business acumen and the ability to work through complex and ambiguous business requirements with non-technical stakeholders

Benefits

Comp & perks

12 weeks of paid leave for welcoming new children
Multiple Health and Welfare Benefit Options (Medical, Dental, Vision)
401k plan (with employer matching)
Flexible + Remote Work Opportunities
Unlimited Paid Time Off (PTO)
Employer Assistance Program (EAP)
Calm and DoorDash subscriptions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonDbtData Pipeline DevelopmentData ModelingStatistical AnalysisAutomated TestingVersion ControlCI/CDData Integrity Standards

Soft Skills

Storytelling with DataCollaborationCommunicationProblem-SolvingAdaptability