Senior Software Engineer, Data and Integrations
Elicit
Posted: 10/20/2026PythonReactSparkSQLTypeScript
Senior Data Engineering and Data Governance Architect
Avanade
Posted: 10/20/2026AzureCloudIoTPostgresPythonSQL
Associate Manager, Data Engineering
Avanade
Posted: 10/20/2026AzurePySparkPythonScalaSQL
Senior Data Engineering Architect, Fabric, Databricks, Snowflake
Avanade
Posted: 10/20/2026AzureCloudIoTPythonSQL
Data Engineer
Foundation for California Community Colleges
Posted: 10/20/2026Amazon RedshiftAWSCloudETLKafkaMySQLPostgresPythonScala+2 more
Senior Manager, Data Engineering – Applied Data Science
Thermo Fisher Scientific
Posted: 10/20/2026AWSAzureCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSQLTableau+1 more
Data Platform Engineering Manager
Berkshire Hathaway Homestate Companies - Workers Compensation Division
Posted: 10/20/2026AirflowAzureCloudETLMySQLNoSQLPostgresPythonSQL+2 more
Associate Director – Data Engineering Lead
Novartis
Posted: 10/20/2026Cloud
Data Platform Engineering Manager
Berkshire Hathaway Homestate Companies - Workers Compensation Division
Posted: 10/20/2026AirflowAzureCloudETLMySQLNoSQLPostgresPythonSQL+2 more
Principal Architect – Data Governance
Logicalis GmbH
Posted: 10/20/2026Cloud
Senior Data Engineer
Walmart
Posted: 10/20/2026AirflowCloudETLGoogle Cloud PlatformPySparkSQL
Senior Data Engineer
Penn Interactive
Posted: 10/20/2026AirflowBigQueryPythonSQL
Data Engineer, AI
RevStar
Posted: 10/20/2026ApacheAWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQL+2 more
Junior Azure Data Engineer
UniFirst Corporation
Posted: 10/20/2026AzureETLPythonSQL
Senior Data Engineer – IBM DB2
Softgic
Posted: 10/20/2026AWSCloudERPETLJavaPythonSQL
Senior Data Engineer
Wealth.com
Posted: 10/20/2026AirflowAmazon RedshiftAWSCloudPythonSQL
Senior Software Engineer – Data
Honeydew Health
Posted: 10/20/2026AWSPostgresTypeScript
Senior Software Engineer – Data Infrastructure
Backblaze
Posted: 10/20/2026AnsibleChefCloudGrafanaJavaLinuxPrometheusPuppetRust+4 more
Data Engineering Lead – Insurance
DXC Technology
Posted: 10/19/2026Amazon RedshiftAWSAzureBigQueryCloudCyber SecurityETLPythonScala+2 more
Senior Manager, Data Engineering
Walmart
Posted: 10/19/2026AzureBigQueryCloudSQL
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in software engineering with a focus on building and maintaining data platforms, integrating diverse data sources, and ensuring data quality and observability. Proficient in translating technical requirements into actionable plans while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Software Engineering ExperienceStrong Python ProgrammingDistributed Data Pipeline DesignSQL ProficiencyClear Communication Skills
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Own Elicit's scholarly search and data platform, including coverage, freshness, quality, reliability, and cost
- Translate customer and business needs into technical plans with product, sales, and partners
- Bring new evidence sources into Elicit for LLM-based features while preserving structure, citations, and provenance
- Build secure, rights-aware integrations for enterprise customers and content partners
- Translate access, privacy, isolation, and auditability requirements into product behavior
- Take features from loose brief to production across frontend, backend, and data layers
- Ship small slices with staged rollouts, monitoring, and rollback plans
- Operate what you build, monitor usage, and manage integration complexity
- Build product features beyond integrations and make the data platform easy for engineers to use
- Use coding agents daily and review their output carefully
Requirements
What you’ll need- 5+ years of software engineering experience
- Production systems ownership and independently made architecture decisions
- Strong Python; live coding is included in interviews
- Working knowledge of TypeScript; React is a plus
- Experience designing, debugging, and tuning distributed data pipelines
- Spark or comparable distributed-systems experience
- Solid SQL
- Practical knowledge of partitioning, joins, columnar formats, and data layout impacts on performance and cost
- Experience integrating messy external data, including APIs, bulk exports, file drops, changing schemas, rate limits, partial failures, and overlapping records
- Care for data quality, entity resolution, provenance, and observability
- Experience shipping user-facing features end to end
- Product judgment connecting infrastructure work to researcher capabilities
- At least one year at an early- or growth-stage company
- Clear communication with engineers and non-engineers
- Pragmatic use of coding agents without quality loss
- Comfortable traveling for quarterly in-person offsites
- Ability to work with time zone overlap between GMT and GMT-8
Benefits
Comp & perks- Equity for all roles, with employee-friendly 10-year exercise periods
- Flexible work environment: Oakland office or remote with time zone overlap between GMT and GMT-8
- Fully covered health, dental, vision, and life insurance for you
- Generous family insurance coverage
- FSA/HSA
- Flexible vacation policy, with a minimum recommendation of 20 days per year
- Company holidays
- $200 monthly wellbeing stipend
- 401K with a 6% employer match
- New Mac and $1,000 workstation or home office budget in the first year
- $500 workstation or home office budget every year thereafter
- $1,000 quarterly AI Experimentation & Learning budget
- Team administrative assistant for personal and work tasks
- Quarterly in-person team retreats/offsites
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonTypeScriptSQLDistributed Data PipelinesData Quality ManagementEntity ResolutionCoding AgentsData IntegrationArchitecture DecisionsUser-Facing Feature Development
Soft Skills
Clear CommunicationPragmatic Problem Solving
Tools & Technologies
SparkReactAPIs
Industry Keywords
Data PlatformData ProvenanceData LayoutIntegration ComplexityEnterprise Customers