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Data Bi Engineer Jobs in Austin, TX (NOW HIRING)

Senior Data Engineer

Austin, TX ยท On-site

$105K - $142K/yr

Partner with ML engineers, BI, and solutions architects on strategic enterprise initiatives ... Proficiency with data warehouses/lakes and big data technologies (e.g., Spark/Databricks, Snowflake ...

Senior Data Analyst

Austin, TX ยท On-site

$85K - $107K/yr

KEY SKILLS : โ€ข Manager Took over data and BI engineering โ€ข Data analysts and data governance โ€ข Teams that support sales finance operation customer service and claims โ€ข Demanding priorities ...

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

Intellisoft Technologies is seeking a highly skilled Data Engineer with extensive experience in ... Collaborate with analytics and BI teams to design optimized data models for reporting and analysis ...

Senior Data & AI Platform Engineer

Austin, TX

$66.75 - $89.25/hr

Power BI or Tableau, including data modeling, security, and refresh architecture. * CI/CD ownership: Git, branching and PR discipline, and building pipelines, not just running them. * Solid scripting ...

Sr. Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

Job Title : Sr. Data Engineer IV Process : 2 rounds virtual, final interview onsite Location: 3800 ... Handsโ€‘on experience with IBM Cognos Analytics or similar BI tools * Strong analytical ...

Senior Data Analyst

Austin, TX ยท Hybrid

$85K - $107K/yr

Manager Took over data and BI engineering Data analysts and data governance Teams that support sales finance operation customer service and claims Demanding priorities Must be very Analytical Data ...

Data Engineer

Austin, TX ยท Remote

$113K - $136K/yr

The Role We're looking for a Data Engineer to join our Data Systems team and help build the modern ... Experience with Power BI reporting and dashboard development preferred * Exposure to data science ...

Senior Data Engineer

Austin, TX ยท On-site

$105K - $142K/yr

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers ... Support BI andreportingworkflows across Looker and Domo , partnering with analysts and business ...

Data & Analytics Engineer, AiDP

Austin, TX ยท On-site

$113K - $136K/yr

Description The Developer Experience Platform team is building the next generation of AI-powered ... BI Working knowledge of cloud platforms (AWS, GCP, or Azure) and associated data services (e.g., S3 ...

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX ยท On-site

$113K - $136K/yr

... BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals. - Follow and contribute to best practices for data engineering, including ...

... BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals. - Follow and contribute to best practices for data engineering, including ...

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

The Role We're looking for a Data Engineer to join our Data Systems team and help build the modern ... Experience with Power BI reporting and dashboard development preferred * Exposure to data science ...

Data & Analytics Engineer, AiDP

Austin, TX

$113K - $136K/yr

... BI Working knowledge of cloud platforms (AWS, GCP, or Azure) and associated data services (e.g., S3, Glue, Dataflow) Minimum Qualifications 3+ years of hands-on experience in data engineering ...

PCA Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Familiarity with tools like Power BI for data visualization is a plus. * Experience working with or ...

Showing results 41-60

Data Bi Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do data bi engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data bi engineer in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What is a Data BI engineer?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What are the key skills and qualifications needed to thrive as a Data BI engineer?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

How does a Data BI engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

What are popular job titles related to Data Bi Engineer jobs in Austin, TX?

For Data Bi Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Data Bi Engineer jobs in Austin, TX look for?

The top searched job categories for Data Bi Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Data Bi Engineer jobs?

Cities near Austin, TX with the most Data Bi Engineer job openings:

Infographic showing various Data Bi Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

$40 - $50/hr

Contractor

PTO

Posted 2 days ago

New


Job description

Data Engineer

Contract | $40 to $50 per hour | 10 to 20 hrs/week | 90 days with potential to extend


ROLE SUMMARY

There are 3.7 million construction companies in America. Most cannot figure out how to hire. The Contractor Consultants solved it and built a fully remote B2B recruitment platform serving construction and trade businesses across the U.S. and Canada.


Zero to over $12M in annualized revenue in three years. 80+ people. On track to support 1,500+ clients in 2026, with a goal of empowering 3,000 construction companies by 2030.


That growth created a data problem. HubSpot holds the client and revenue picture. Loxo holds the recruiting pipeline. Airtable holds scoring and ticket queues. Ramp holds spend. Make.com moves data between them. Every system is right about its own slice and none can answer a question that crosses two. Today, "what does utilization look like by pod, by month, against revenue" takes a person and a week.


We are fixing that with Supabase as the central warehouse. We need an engineer to build it.

Three things have to be true about your background:

  • You have built production ETL or ELT pipelines against real business systems. Commercial APIs, rate limits, schema drift, and jobs that keep running when a vendor changes a field without telling you.
  • You have owned a warehouse, not just queried one. Supabase, PostgreSQL, BigQuery, Snowflake, or AWS. You know why a schema decision made in week two costs you in month six.
  • You can hand your work to a business user. Enough BI fluency in Metabase, Tableau, or Power BI to model data so it is usable downstream, and you document without being chased.


WHAT SUCCESS LOOKS LIKE

Success Outcome #1: Stand Up our Database as the Single Source of Analytical Truth

  • Design and build the Supabase schema: staging, core, and reporting layers, with documented relationships
  • Model entities that live across multiple systems (client, funnel, role, candidate, transaction) into one consistent definition
  • Build data quality checks that catch duplicates, orphaned records, and failed loads before a human finds them in a report
  • Keep the architecture tool independent. If TCC swaps an ATS in two years, the warehouse survives it

Success Outcome #2: Connect the Stack and Keep the Pipes Clean

  • Build and maintain pipelines from HubSpot, Loxo, Airtable, Ramp, and additional sources as scoped
  • Handle incremental loads, backfills, and historical snapshots so we get time series, not just current state
  • Build monitoring and alerting so a broken sync surfaces immediately with a clear failure reason
  • Consolidate with existing Make.com middleware rather than layering another system on top

Success Outcome #3: Build the Calculation Layer That Turns Records Into Metrics

Raw rows do not run a company. You mathematicize them into the numbers leadership decides on.

  • Build the metric layer: pod and recruiter utilization, funnel throughput, time to hire, client health inputs, revenue per funnel
  • Define each metric once, in one place, so two dashboards cannot disagree about the same number
  • Model and expose data for Metabase, Tableau, or Power BI, and build the first views leadership needs
  • Leave a documented handoff so the next person can add a metric without calling you


ENGAGEMENT TERMS

Rate:  $40 to $50 per hour, based on experience and depth of warehouse ownership

Hours: 10 to 20 per week, flexible, with reasonable overlap into U.S. business hours

Term: 90 day initial contract. There is real potential to extend the engagement based on delivery and roadmap.

Classification: 1099 independent contractor. No employee benefits, PTO, or company-sponsored insurance.

Equipment: Bring your own device (BYD) and hardware. We will provide systems access to relevant software systems.


WHAT GIVES YOU THE EDGE (PREFERRED)

  • 4 to 8 years of data engineering experience
  • Prior API integration work with a CRM (ideally HubSpot), a modern ATS (ideally Loxo), and low code tools (ideally Airtable and Make.com)
  • Fluency in at least one project management platform: Linear, Jira, ClickUp, Notion, Asana, or Monday.com
  • Experience with DBT or a comparable transformation framework
  • Proficient in Python or TypeScript for pipeline work
  • Bonus: experience in a services, staffing, or recruiting business where utilization and throughput are the core metrics


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Legally, we need you to know this: The Contractor Consultants is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, military service, or any other status protected by law. All hiring decisions are based on qualifications, merit, and business needs.