Senior Analytics Engineer: End‑to‑End Data Products

Aceable; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Best Places to Work

Competitive total rewards

Medical benefits

Paid time off

Wellness programs

Top-floor office parking

Weekly lunches

Company events

Growth reimbursement

Roadside assistance

Hybrid/Remote flexibility

Job summary

Aceable is seeking a Senior Analytics Engineer in Austin, TX who loves solving holistic data problems and building end-to-end data products from source data to decision-ready dashboards and reports.

You'll work on data engineering and business intelligence tasks, including data pipelines, dbt modeling, semantic views, AI-enabled data experiences, and Power BI dashboards, partnering with Marketing, Product, and Finance.

Qualifications

• 7+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence Engineering, or a similarly technical data role.
• Advanced SQL and hands-on experience building production-scale transformations in a cloud data warehouse, ideally Snowflake, dbt, and GitHub or close equivalents.
• A strong understanding of dimensional modeling, data marts, data quality testing, documentation, version control, code review, and software development lifecycle practices.
• Experience with at least one data integration, ETL/ELT, orchestration, or event-data platform, plus a solid understanding of how data moves from source systems through transformation and into downstream reporting.
• Experience building semantic models, DAX measurements, dashboards, and self-service data products using Power BI or an equivalent modern BI platform.
• The ability and judgment to take a highly ambiguous business problem, ask the right questions, and turn it into something reliable and maintainable, plus the communication skills to do that with deeply technical partners and stakeholders who just need the data to make sense.
• Experience building semantic layers, AI agents, or automated workflows that support generative AI and natural-language analytics and a willingness to use AI responsibly to accelerate technical work, automate repeatable processes, and continuously expand your capabilities

Responsibilities

• Own data products end to end. Take a problem from source data all the way through to the dashboard, metric, or workflow someone actually makes a decision with.
• Turn fuzzy questions into things people trust. Work directly with partners in Marketing, Product, Finance, and Engineering to figure out what they're really asking, then build something reliable and maintainable enough that they stop asking you and just use it.
• Own quality from source to screen. Build the testing, documentation, monitoring, and data quality controls that keep trust high, and when something breaks, chase it wherever it actually lives: pipeline, transformation, model, metric, or report.
• Leave the platform better than you found it. Improve architecture, simplify workflows, and automate repetitive work, including using AI well to move faster on coding, investigation, testing, and documentation, while holding the line on accuracy and human review.

Skills

Advanced SQL

Snowflake

dbt

Power BI

AI

Semantic modeling

Data pipelines

GitHub

Tools

Matillion

Segment

Python

Git

Job description

Aceable is seeking a Senior Analytics Engineer in Austin, TX who loves solving holistic data problems and building end-to-end data products from source data to decision-ready dashboards and reports.

You'll work on data engineering and business intelligence tasks, including data pipelines, dbt modeling, semantic views, AI-enabled data experiences, and Power BI dashboards, partnering with Marketing, Product, and Finance.