The Sr. Data Engineer will build and manage data pipelines for large datasets, collaborate with teams, and leverage cloud technologies for data processing.
Windfall is seeking a Sr. Data Engineer to join our data team. As a Sr. Data Engineer on our data team, you will be building out the core data asset that everything else at Windfall is built on top of. Communication and collaboration are at the heart of Windfall, and you will work closely with our product, data science, and other engineering teams. You will personally design and build the pipelines for massive datasets, taking them all the way from inception to exploration to production and customer use.
We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win When Our Customers Win; and (5) Act with integrity and trust.
Responsibilities:
- Construct data pipelines to ingest and merge billions of individual entities into Windfall’s core data asset
- Work closely with our data science team to run ML models on top of billions of data points
- Build supporting data services and applications to orchestrate and monitor our data systems
Some technology you will use:
- Cloud platform - GCP
- Programming languages - Java, Python, and Kotlin
- Data warehouse & databases - BigQuery, Postgres, Scylla/Cassandra
- Distributed processing frameworks - Dataflow (Apache Beam) and Apache Spark
- Orchestration - Airflow
Requirements:
- 4-8 years of professional data engineering experience
- Significant experience working with Apache Beam/Spark/Flink or MapReduce
- Strong Object-oriented programming ability in a JVM language
- Expert knowledge of distributed data processing
- Familiarity with different datastores, their differences, and appropriate usages
- Experience at a sub-200 person company
- You communicate as well as you code
- You can simplify complex problems into simple solutions
- You balance a strong sense of ownership and responsibility in your work with collaboration and team alignment
- You are comfortable making trade-offs between quality, complexity, and speed-of-delivery
Preferred Qualifications:
- Proven experience taking a large project from ideation to production
- Experience leading greenfield projects
- Working knowledge of cloud-native data engineering infrastructure
Additional Information:
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California and Colorado. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site.
California: Salary range is $170k - $220k
About Windfall
Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com.
We comply with CCPA. For more information on how we comply, review our privacy notice.
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.
Top Skills:
AirflowAWSBigQueryDaskDockerFlinkGCPKafkaKubeflowKubernetesLangchainLlamaindexMlflowMlops ToolsOciPulsarPythonSagemakerSnowflakeSparkVertex Ai
Big Data • Cloud • Productivity • Software • Database • Analytics • Automation
The Data Engineer will build and maintain data pipelines, optimize workflows, manage infrastructure, and enhance pipeline observability while collaborating with teams for effective data delivery.
Top Skills:
AirflowBigQueryDagsterDatabricksDatadogPrefectPythonRedisSnowflakeSQLTerraform
Cloud • Information Technology • Security • Software • Cybersecurity
The Principal GenAI Data Engineer will drive the design and implementation of scalable GenAI data platforms, focusing on robust data pipelines for structured and unstructured data. This role requires expertise in Python and AI data architecture, enhancing enterprise data capabilities.
Top Skills:
Ai WorkloadsGenerative AiGraph DatabasesMetadata Storage SystemsPythonVector Databases
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
