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Entry Level Databricks Data Engineer Jobs in Austin, TX

1 point system

Databricks Engineer

Austin, TX · On-site

Experience in data warehousing and dimensional data modeling (star/snowflake schemas). Proficiency ... Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional)

Pwc

Data Engineer - Senior Associate

Austin, TX · On-site

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Dlapiper

Data Engineer

Austin, TX

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

1 point system

Spark/Pyspark Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Technical Stack Very strong SQL Spark / PySpark Databricks Enterprise‑scale data engineering experience Interview Process 4 rounds minimum At least 1-2 panel interviews (1 hour each) Additional ...

Overhaul Group Inc

Sr. Data Engineer

Austin, TX · 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 ...

Swift Hire LLC

AWS Databricks Developer

Austin, TX · On-site

$55 - $60/hr

As a AWS Databricks Developer you will be a part of an Agile team to build healthcare applications ... Build and optimize data ingestion, transformation, and loading processes for enterprise-scale data ...

Armaninollp

Data & AI Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

New

SpyCloud

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

Elasticsearch, SQL, Databricks * AWS (EC2, RDS, SQS, S3, Lambda, API Gateway, and more) What You'll ... Python developer. * A love of working with data. Familiarity with cleaning/transforming data.

Kollasoft Inc.

Cloud Engineer

Austin, TX · On-site

$55.25 - $73.75/hr

Excellent work experience on DataBricks as data warehouse/Data Lake implementations. * Experience ... on DevOps tools (Git, Jenkins, Artifactory) Unix/Linux Shell scripting (KSH) and basic ...

247Hire

Data Scientist

Austin, TX · On-site

$90 - $130/hr

Work closely with the Data Engineering teams to ensure data is stored efficiently and can support ... Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, etc.

Symphony Corporation

Data Operations Engineer

Austin, TX · On-site

$68K - $93K/yr

Data Operations Engineer o As data operations engineer, you will collaborate with various ... Databricks, MLFlow, Data Catalogs, Jupyter Notebooks, Vector database and Cassandra.  Solid ...

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Entry Level Databricks Data Engineer information

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How much do entry level databricks data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for entry level databricks data engineer in Austin, TX is $68,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $77,800.00 per year, depending on experience, location, and employer.

What is an entry level Databricks data engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.

What are the key skills and qualifications needed to thrive as an entry level Databricks data engineer?

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry level Databricks data engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.

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:

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Entry Level Databricks Data Engineer jobs near you

Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games

Databricks

Austin, TX • On-site

$182K - $250K/yr

Full-time

Re-posted yesterday

Job description

CSQ127R318
As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
  • You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
  • Work with engagement managers to scope variety of professional services work with input from the customer
  • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Provide an escalated level of support for customer operational issues.
  • You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:
  • 6+ years experience in data engineering, data platforms & analytics
  • Comfortable writing code in either Python or Scala
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps
  • Design and deployment of performant end-to-end data architectures
  • Experience with technical project delivery - managing scope and timelines.
  • Documentation and white-boarding skills.
  • Experience working with clients and managing conflicts.
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 20% of the time
  • Databricks Certification

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$182,000-$250,208 USD
Zone 2 Pay Range
$182,000-$250,208 USD
Zone 3 Pay Range
$182,000-$250,208 USD
Zone 4 Pay Range
$182,000-$250,208 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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