ApplySarthiSr. Software Engineer - Ingestion Core team
Databricks
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This role on the market
14 open ingestion roles across 5 companies are on ApplySarthi right now, most of them in Bengaluru (4), Mumbai (1).
- Software Engineer, Ingestion PlatformReddit
- Software Engineer - Content IngestionRoku
- Sr Program Manager (OCI Rack Ingestion)Oracle
- Specialist - Data Ingestion OperationsExperian · mumbai
What ingestion roles keep asking for: SQL (71%), Observability (50%), Excel (43%), Databricks (36%), Python (36%), System design (36%), Java (29%), Looker (29%) — counted across their open postings here.
Software Engineer jobs in the United States · Software Engineer jobs in San Francisco · Remote Software Engineer jobs · C++ jobs · Data warehousing jobs · Databricks jobs · Excel jobs
Databricks has 887 open roles listed here.
- Enterprise Account Executive - China
- Enterprise Account Executive - China
- Executive Assistant
- Named Core Account Executive - Thailand
- Sr. Manager, AI Forward Deployed Engineering
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for ingestion roles keep coming back to SQL, Observability, Excel, Databricks. Practise those questions before you sit with Databricks.
Questions you are likely to be asked
- Why do you want to join Databricks?
- What is your experience with Databricks? Tell me one thing you learned the hard way.
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
- Walk me through a system you built. How was it designed, and what would you change now?
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Practise the Sr. Software Engineer - Ingestion Core team at Databricks interview free →Deeply understanding what’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. That’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 that’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 isn’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.
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.
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Listed on greenhouse · posted 2026-09-16. ApplySarthi collects openings and links to application pages; the role is advertised by Databricks, not by us.