Data Engineer, People Data Labs
$180-220k
B2B data provider for industry leading platforms
Posted today
B2B data provider for industry leading platforms
21-100 employees
Posted today
$180-220k
21-100 employees
Company mission
To do the heavy lifting of fata collection and standardization so our customers can focus on building and scaling innovative, compliant data solutions.
Role
Who you are
- 3–5+ years of industry experience, with clear examples of strategic technical problem-solving and implementation
- Strong software development fundamentals
- Experience with Python
- Expertise with Apache Spark (Java, Scala, and/or Python-based)
- Experience with SQL
- Experience building scalable data processing systems (e.g., cleaning and transformation) from the ground up
- Experience using developer-oriented data pipeline and workflow orchestration tools (e.g., Airflow, dbt, Dagster, or similar)
- Knowledge of modern data design and storage patterns, such as incremental updating, partitioning and segmentation, rebuilds, and backfills
- Experience working in Databricks, including Delta Live Tables and data lakehouse patterns
- Experience with cloud computing services such as AWS, GCP, or Azure
- Experience with data warehousing, such as Databricks, Snowflake, Redshift, or BigQuery
- Understanding of modern data storage formats and tools, such as Parquet, ORC, Avro, and Delta Lake
- Ability to balance high ownership and autonomy with strong collaboration
- Ability to work effectively remotely, proactively managing blockers, asking questions, and participating in team activities
- Strong written communication skills in Slack/chat and documents
- Experience writing data design documents, including pipeline design, dataflow, and schema design
- Ability to scope and break down projects and communicate progress and blockers effectively with managers, teammates, and stakeholders
Desirable
- Degree in a quantitative discipline such as computer science, mathematics, statistics, or engineering
- Experience working with entity data (entity resolution or record linkage)
- Experience working with data acquisition or data integration
- Expertise with Python and the Python data stack, such as NumPy and pandas
- Experience with streaming platforms such as Kafka
- Experience evaluating data quality and maintaining high data standards across new feature releases, including consistency, accuracy, validity, and completeness
What the job involves
- The Data Engineering Team is central to the company’s work. This role offers autonomy and the opportunity to contribute directly to the next frontier of data-as-a-service
- Build infrastructure to ingest, transform, and load an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks
- Build an organic entity resolution framework capable of correctly merging hundreds of billions of individual entities into clean, consumable datasets
- Develop CI/CD pipelines and anomaly detection systems to continuously improve the quality of data pushed into production
- Develop solutions to undefined data engineering and data science problems
Our take
The increasing appetite of businesses to gain a competitive advantage over the competition from the use of data, coupled with the challenges of managing an increasingly complex and heterogeneous data landscape, has created the right conditions for the DaaS market to grow rapidly.
People Data Labs builds APIs that enable developers, engineers, and data scientists to build data-driven products using B2B data records. Their data powers internal and customer-facing digital products that can drive revenue and increase efficiency, and is used by enterprise businesses as well as tech start-ups. Their clients include Kleiner Perkins, BreezyHR, SugarCRM, 6Sense, Lunchclub, and Gem.
People Data Labs is focused on hiring engineering and product professionals as part of an ongoing push into critical verticals. This includes offerings in the fintech space, where they plan to expand their data products to support fraud detection, risk mitigation, and insurance underwriting. The company also plan to expand their offerings in firmographic data via insights and company data products for investment research, sales planning, and investor due diligence.
Freddie
Company Specialist at Welcome to the Jungle
Insights
43% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Nov 2021
$45m
SERIES B
Oct 2018
$7m
SERIES A
Total funding: $55.3m
Company benefits
- Remote-first work, always: As a remote-first company, we believe in flexible work that fits your life. It’s that simple.
- Unlimited PTO: No checking how many vacation days you have left! Rest, recharge, and take time off when you need it.
- Monthly Employee Stipends: We provide monthly stipends automatically for employees. Think internet bills bills, running shoes, your new pickleball obsession, etc. -- use it as you wish!
- Medical, Dental, Vision Insurance: We provide multiple insurance plan options to make sure you and your family are covered!
Company HQ
South Beach, San Francisco, CA
Leadership
Ben Eisenberg
(CEO)Ben joined PDL in 2017 as a Technical Analyst, since then he has held a number of roles and became CEO in 2024.
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