Senior Data Engineer (Databricks/AWS)

TL;DR

Senior Data Engineer (Databricks/AWS): Building data pipelines and foundations to enable product analytics and data science with an accent on ETL/ELT development and data cleaning. Focus on transforming raw telemetry and streaming data into model-ready datasets to guide product decisions.

Location: Remote in specific US states (CA, CO, CT, FL, GA, IL, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA, WA). Must be a U.S. citizen or lawful permanent resident. Not eligible for visa sponsorship. Hybrid options available in Austin, TX and Tampa, FL. Excluded: City limits of Chicago.

Salary: $110,000 – $200,000 per year

Company

hirify.global provides a Unified IT Operations Platform for endpoint management, autonomous patching, backup, and remote access.

What you will do

• Design and build ETL/ELT pipelines using Databricks, dbt, and AWS to extract and transform data from multiple sources.
• Prepare structured and unstructured data for modeling, including product usage, adoption, and customer behavior analysis.
• Own the transformation of raw telemetry, event, and streaming data into clean, well-structured datasets.
• Automate and optimize data workflows to reduce manual processes and improve collection efficiency.
• Build dashboards and reports in Tableau and Databricks to expose key trends to business stakeholders.
• Collaborate with data scientists and product teams to translate business questions into technical data models.

Requirements

• 7+ years of experience in software development with a strong focus on data engineering.
• Expertise in Python and SQL.
• Strong experience with Databricks, dbt, and AWS data services.
• Solid understanding of data cleaning, preparation, and feature engineering.
• Must be based in one of the specified US states.
• Must be a U.S. citizen or lawful permanent resident.

Nice to have

• Experience with Unity Catalog.
• Understanding of Generative AI and Deep Learning frameworks.
• Experience with streaming frameworks like Kafka, Kinesis, or Spark Structured Streaming.
• Previous experience partnering directly with data science teams on model-ready pipelines.

Culture & Benefits

• Comprehensive medical, dental, and vision insurance.
• 401(k) retirement plan.
• Unlimited PTO to prioritize work-life balance.
• Collaborative, kind, and curious team community.
• Flexible hybrid remote work options.