Databricks

Sr. Software Engineer - Ingestion Core team

Databricks ๐Ÿ“ California, USA ๐Ÿข On-site Posted Sep 16, 2026 via Databricks careers
full-time ๐Ÿ“‚ Software Development ๐Ÿข On-site ๐Ÿญ Technology

โœจ Job Highlights

  • โ˜…Pay: $166,000 to $225,000 a year
  • โ˜…On-site: California
  • โ˜…Full-time role in software development
  • โ˜…Experience asked for: 5+ years
  • โ˜…Apply directly on Databricks's careers site
  • โ˜…Posted September 16, 2026

Full Job Description

Sr. Software Engineer - Ingestion Core team job at Databricks in California

Databricks is recruiting a Sr. Software Engineer - Ingestion Core team to join the team in California. This is full-time work at Databricks's location. Databricks lists pay of $166,000 to $225,000 a year.

The description below comes from Databricks's own job posting.

Deeply understanding whatโ€™s in the enterprise data has been a challenge that Databricks has been addressing by providing analytics and machine learning tools. From data warehousing with Databricks SQL to large-scale distributed processing with Spark and advanced ML tools for experimentation and model serving, we empower our customers to gain insights and drive innovation.

To enable all of this on Databricks, making data ingestion seamless is crucial. Thatโ€™s the mission of the Ingestion Core Team: to make the ingestion of all data-structured and unstructured-simple, reliable, and efficient. Simplifying the complex is hard, and thatโ€™s where you come in. This role requires building distributed platform systems to incrementally ingest high-volume, petabyte-scale data from diverse sources-including cloud storage (SQS, ADLS, GCS), databases (Oracle, SQL Server, MySQL, Postgres), and file sources (Google Drive, SharePoint)-at high throughput and low cost. The data includes structured formats (JSON, Parquet, CSV) as well as unstructured data (text, images, docs, PPTs, and blobs), all of which land in Delta Lake with schema evolution and change data capture (CDC) capabilities.

Join us in making data ingestion effortless and be part of the team that powers the future of AI + data at Databricks!

As an engineer on the team, you will work on projects that:

  • Build distributed infrastructure to ingest data from diverse sources and support streaming ingestion, incremental processing, and replication. This isnโ€™t just about building plugin connectors.
  • Reduce end-to-end latency, increase throughput, and reduce costs from the time data appears in source systems to when it is available in Delta Lake.
  • Design and optimize streaming and distributed workloads for throughput, cost, latency, reliability, and scale.
  • Optimize streaming workloads by exploring and applying ML techniques.
  • Build monitoring and observability capabilities (customer-facing and internal) that provide visibility into ingestion workflows and the systems running them.
  • Collaborate with partner teams to enable use cases like RAG and AI agents.
  • Build Agentic SDKs with strong evaluations.
  • Ideal Engineer should have:

  • 5+ years of experience writing production code in one of: Java, Scala, Go, C++, or Python.
  • Experience architecting, developing, and deploying large-scale distributed and asynchronous systems.
  • Experience with distributed systems, streaming, Spark, databases, data processing, or CDC.
  • Experience building or operating systems where scale, throughput, latency, reliability, and cost are important considerations.
  • Comfortable using AI tools and defining effective evals to shorten the development loop.
  • 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 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 anticipates 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.

    Local Pay Range $166,000 to $225,000 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.

    Benefits

    At 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.

    Quick answers

    What is the salary for the Sr. Software Engineer - Ingestion Core team role at Databricks?

    Databricks advertises $166,000 to $225,000 a year for this role.

    Is the Sr. Software Engineer - Ingestion Core team position remote?

    No, it is an on-site job in California.

    What experience do I need for this Sr. Software Engineer - Ingestion Core team job?

    The posting mentions at least 5 years of relevant experience and skills such as Python, Java, Go and C++. Read the full description above for the complete list.

    Where do I send my application to Databricks?

    Use the apply button on this page. It takes you to Databricks's own application form, so your CV goes directly to their hiring team.

    When was this job posted?

    Databricks published the role on September 16, 2026. We check the employer's job board every day and take this page down when the role closes, so if you can read it, the job was still listed at our last check.

    Source: Databricks careers page (databricks.com). Applications go straight to the employer. We check the listing daily and remove it once it closes.

    Required Skills

    Python Java Go C++ Scala SQL Spark MySQL Machine Learning Oracle

    ๐Ÿข About Databricks

    Databricks publishes its open roles on its own careers board. This page collects the Databricks jobs that are live right now. Each listing links to Databricks' application form, and we remove a listing once the employer closes it.

    Industry: Technology

    View Company Profile โ†’
    $166,000 - $225,000 / yearly

    Yearly salary

    Apply on Company Site โ†—
    ๐Ÿข Company Databricks
    ๐Ÿ“ Location California, USA
    ๐Ÿ’ผ Job Type full-time
    ๐ŸŒ Work Mode ๐Ÿข On-site
    ๐Ÿญ Industry Technology
    ๐Ÿ—“ Posted Date Sep 16, 2026
    ๐Ÿ”— Via Databricks careers
    ๐ŸŽฏ Experience 5+ years
    ๐Ÿ“… Deadline Dec 14, 2034

    About the Company

    Databricks publishes its open roles on its own careers board. This page collects the Databricks jobs that are live right…

    View Company โ†’