Data Engineer

Back in 2012, we were a group of engineers and designers who decided we wanted to build things—so we did. Able started as an engineering and product hub building for a portfolio of early-stage startups. We built many relationships while developing products that were thoughtful, effective, and genuinely useful. But, since then, we’ve grown… and so has our ambition. 

Now, we’re entering our next chapter—defined by applied AI. AI is a powerful force in the end-to-end software development cycle, and we’re creating practices that allow us to deliver software fast and more effectively than traditional approaches, creating meaningful value for our partners. Today, our builder mindset is driving us to become an AI-native organization across every function. We’re still evolving, and that’s part of the opportunity. If you want to build, learn, and tackle challenges alongside an ambitious team, let’s build together.

We’re looking for a Senior Data Engineer to design and build scalable data systems that power analytics and decision-making. You’ll define how data is captured, build reliable pipelines, and ensure data is accurate, accessible, and ready to use.

• →Design and maintain scalable data models and warehouse/lakehouse architectures
• →Define standards for data capture, storage, quality, and governance
• →Partner with software engineers to establish event tracking, data contracts, and logging patterns
• →Build and operate ETL/ELT pipelines to centralize data from multiple sources (DBs, APIs, third-party tools)
• →Orchestrate workflows and ensure reliable, timely delivery of clean data
• →Monitor pipeline health, implement data quality checks, lineage, and alerting
• →Create curated datasets and semantic layers that power dashboards and reporting
• →Work with stakeholders to translate business needs into clear, usable data structures

• 10+ years of experience building production-grade data systems at scale
• Strong SQL and experience with modern data warehouses (Snowflake, BigQuery, Redshift, or Databricks)
• Proficiency in Python for data processing and pipeline development
• Experience building and maintaining ETL/ELT pipelines in production environments
• Hands-on experience with workflow orchestration tools (Airflow, Prefect, Dagster, or similar)
• Solid understanding of data modeling (dimensional modeling, schema design, data contracts)
• Experience with BI tools (Looker, Tableau, Metabase, Superset)
• Experience in defining and enforcing data quality, reliability, and governance practices
• Ability to work cross-functionally and translate business requirements into data solutions
• Strong ownership, comfortable driving ambiguous problems end-to-end

• Experience with distributed processing tools like Spark / Databricks
• Familiarity with streaming systems (Kafka, Kinesis)
• Cloud and infrastructure experience (AWS, GCP, Terraform)
• Experience with event tracking tools (Segment, Amplitude, Mixpanel)
• Exposure to AI/ML data pipelines or model-supporting infrastructure

Able is powered by curious, thoughtful people who care about what they build and how they build it. We’re actively investing in our team through AI training, knowledge-sharing, and hands-on experimentation to ensure everyone grows alongside the technology.