1

Contract Databricks Data Engineer Jobs in Austin, TX

Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

As a Software Engineer on the Data Infrastructure team, you will design, build, and operate the ... Databricks) * Strong coding skills in Python and SQL; experience with Go or another compiled ...

Senior Data Engineer

Austin, TX ยท On-site

$105K - $142K/yr

Proficiency with data warehouses/lakes and big data technologies (e.g., Spark/Databricks, Snowflake ... Strong software engineering fundamentals and tooling (Git, CI/CD, JIRA); comfort in Linux + Bash/Z ...

Sr. Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

Since data engineers are responsible for their pipelines at Over-haul, this role requires engineers ... Design and maintain streaming data pipelines using Databricks, and Spark * Create ML Pipelines to ...

New

Azure/Databricks Infrastructure Engineer

Austin, TX ยท On-site

$55.25 - $73.75/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

Sr. Data Engineer

Austin, TX ยท On-site +1

$113K - $136K/yr

Since data engineers are responsible for their pipelines at Over-haul, this role requires engineers ... Design and maintain streaming data pipelines using Databricks, and Spark * Create ML Pipelines to ...

Sr. Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI ... Databricks * Lead development of analytical data models * Integrate SAP data sources including SAP ...

Sr. Data Engineer

Austin, TX ยท On-site

$113K - $136K/yr

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI ... Databricks * Lead development of analytical data models * Integrate SAP data sources including SAP ...

Showing results 41-60

Contract Databricks Data Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do contract databricks data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for contract databricks data 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 are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
What are the most commonly searched types of Databricks Data Engineer jobs in Austin, TX? The most popular types of Databricks Data Engineer jobs in Austin, TX are:
What are popular job titles related to Contract Databricks Data Engineer jobs in Austin, TX? For Contract Databricks Data Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in Austin, TX look for? The top searched job categories for Contract Databricks Data Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Contract Databricks Data Engineer jobs? Cities near Austin, TX with the most Contract Databricks Data Engineer job openings:
Infographic showing various Contract Databricks Data Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Data Engineer

Base Power Company

Austin, TX โ€ข On-site

$113K - $136K/yr

Full-time

Re-posted 5 days ago


Job description

About Base
Base is America's next-generation power company. We're rebuilding the foundation of modern civilization-electricity-by deploying a vast network of distributed batteries that is transforming today's fragile, centralized grid into a resilient and abundant system. We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time.
About the Role
We process data from across the entire company: firmware telemetry from thousands of deployed batteries, ERCOT market signals, manufacturing test benches, lab equipment, and grid operations. As a Software Engineer on the Data Infrastructure team, you will design, build, and operate the backend data infrastructure that powers how we understand and run our business.
This is a backend engineering role with a deep data focus. You won't just model schemas; you'll own the pipelines, systems, and platforms that move and transform data at every layer of the stack. You'll work closely with software engineers, hardware teams, markets, and operations to understand what data they need and build the systems that reliably deliver it.
What you'll do
  • Backend data systems: Build and maintain the core backend systems that ingest, transform, and serve data across the company -- from raw telemetry and operational events to clean, queryable datasets used in dashboards, models, and APIs.
  • Pipeline development and operations: Design, build, and operate reliable batch and streaming data pipelines with a focus on correctness, performance, and scalability. Own ETL processes end-to-end, from source system integration through to production delivery.
  • Data modeling and architecture: Build foundational schemas and canonical datasets that store high-volume time-series and event data in a way that stays searchable, performant, and scalable. Own core data models used across the company for analytics, reporting, and decision-making.
  • Diverse data integration: Manage ingestion across a wide range of data sources -- IoT telemetry, third-party APIs, operational systems, and internal services -- and build the infrastructure to synchronize and join them reliably.
  • Visualization and accessibility: Build and maintain platforms that let cross-functional teams query, explore, and visualize data without needing to understand the underlying infrastructure.
  • Data quality and governance: Ensure source-of-truth datasets are consistent, documented, and trustworthy. Improve observability so teams can use data with confidence.
  • Architecture evolution: Help define and evolve our data architecture, tooling, and best practices as we scale. You'll have real input into how we build -- not just what we build.

What you'll bring
  • 5+ years in data engineering or backend engineering with a strong data focus
  • Deep experience building data infrastructure -- data warehouses, data lakes, streaming systems, or similar (e.g., BigQuery, Snowflake, Redshift, Databricks)
  • Strong coding skills in Python and SQL; experience with Go or another compiled language is a plus
  • Comfortable building and maintaining production pipelines using modern orchestration frameworks (e.g., Airflow, Prefect, dbt)
  • Experience integrating diverse data sources -- APIs, event streams, relational databases, flat files
  • Deep care about data quality, schema design, and building systems others can trust and extend
  • Familiarity with cloud infrastructure and infrastructure-as-code (e.g., GCP or AWS, Terraform)
  • Comfortable working in fast-moving environments with evolving requirements -- you write simple, reliable systems that solve real problems, not over-engineered ones

About the team
America's power grid is failing -- electricity costs have risen even as generation gets cheaper, and blackouts are becoming more common. We're building the software that fixes it. Our team owns the entire stack: firmware that controls batteries in thousands of homes, trading algorithms that buy and sell power in real-time markets, distributed commanding systems that orchestrate a growing fleet as a single grid asset, factory software for our Austin manufacturing line, and the product experience that makes it all invisible to homeowners. If you want to write code that physically moves electrons, ships hardware, and reshapes critical infrastructure, this is the job.
Please note: Base is a startup, which means priorities shift and evolve quickly. Your role may expand or change based on the needs of the business at any given time, so the responsibilities listed may not be exhaustive.
Our Values
  • First Principles Thinking: Question assumptions. Principles > rules.
  • Operate at Base Pace: Focus on what matters, act quickly, and learn by doing.
  • Give & Get Feedback: Be direct, be humble, and maintain a growth mindset.
  • Everyone's an Owner: Follow through on commitments and own results.
  • Strong Opinions, Loosely Held: Drive clarity and make calls with imperfect information.
  • Committed to the Mission: Rebuilding the grid is a big challenge. We work hard because we care deeply about the impact we're creating. We work in-person. It's not a 9-to-5. We are all-in.
  • Fun & Optimism Coexist with Grit: Collaboration and celebration coincide with the intensity of building real things.
Do the best work of your life at Base.