What are the responsibilities and job description for the Senior Data Engineer position at People Data Labs?

Job Description

About Us

At People Data Labs, we're committed to democratizing access to high-quality B2B data and leading the emerging DaaS economy. We empower developers, engineers, and data scientists to create innovative, compliant data products at scale with our clean, easy-to-use datasets of resume, company, location, and education data consumed through our suite of APIs.

PDL is an innovative, fast-growing, global team backed by world-class investors, including Craft Ventures, Flex Capital, and Founders Fund. We scour the world for people hungry to improve, curious about how things work, and willing to challenge the status quo to build something new and better.

Roles & Responsibilities :

Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks
Building an organic entity resolution framework capable of correctly merging hundreds of billions of individual entities into a number of clean, consumable datasets.
Developing CI / CD pipelines and anomaly detection systems capable of continuously improving the quality of data we're pushing into production.
Devising solutions to largely-undefined data engineering and data science problems.
Work with stakeholders in Engineering and Product to assist with data-related technical issues and support their infrastructure needs

Technical Requirements

5-7 years 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, transformation) from the ground up.

Experience using developer-oriented data pipeline and workflow orchestration (e.g., Airflow (preferred), dbt, dagster or similar)

Knowledge of modern data design and storage patterns (e.g., incremental updating, partitioning and segmentation, rebuilds and backfills)

Experience working in Databricks (including delta live tables, data lakehouse patterns, etc.)

Experience with cloud computing services (AWS (preferred), GCP, Azure or similar)

Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar)

Understanding of modern data storage formats and tools (e.g., parquet, ORC, Avro, Delta Lake)

Professional Requirements

Must thrive in a fast paced environment and be able to work independently

Can work effectively remotely (able to be proactive about managing blockers, proactive on reaching out and asking questions, and participating in team activities)

Strong written communication skills on Slack / Chat and in documents

You are experienced in writing data design docs (pipeline design, dataflow, schema design)

You can scope and breakdown projects, communicate and collaborate progress and blockers effectively with your manager, team, and stakeholders

Nice To Haves :

Degree in a quantitative discipline such as computer science, mathematics, statistics, or engineering

Experience working with entity data (entity resolution / record linkage)

Experience working with data acquisition / data integration

Expertise with Python and the Python data stack (e.g., numpy, pandas)

Experience with streaming platforms (e.g., Kafka)

Experience evaluating data quality and maintaining consistently high data standards across new feature releases (e.g., consistency, accuracy, validity, completeness)

Our Benefits

Stock

Competitive Salaries

Unlimited paid time off

Medical, dental, & vision insurance

Health, fitness, and office stipends

The permanent ability to work wherever and however you want

Salary : $190K - $220K

No C2C, 1099, or Contract-to-Hire. Recruiters need not apply.

People Data Labs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Personal Privacy Policy for California Residents

https : / / privacy.peopledatalabs.com / policies?name=personnel -privacy-policy

Salary : $190,000 - $220,000

Apply for this job

Receive alerts for other Senior Data Engineer job openings

Senior Data Engineer

What are the responsibilities and job description for the Senior Data Engineer position at People Data Labs?

What is the career path for a Senior Data Engineer?

Job openings at People Data Labs

Not the job you're looking for? Here are some other Senior Data Engineer jobs in the Bodega, CA area that may be a better fit.

We don't have any other Senior Data Engineer jobs in the Bodega, CA area right now.

AI Assistant is available now!