Senior Software Engineer, People Data Labs
Platform
$160-180k
+ Stock
B2B data provider for industry leading platforms
Job no longer available
B2B data provider for industry leading platforms
21-100 employees
Job no longer available
$160-180k
+ Stock
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
- 5-7+ years of software development experience with a background in platform or cloud infrastructure engineering and clear examples of strategic technical problem-solving and implementation
- 3+ years of experience with Python in a production environment
- Strong software development fundamentals and system design experience
- Strong experience with our core technologies (AWS, ElasticSearch / OpenSearch, Python, Docker, scaled data processing technologies)
- AWS, including EC2, Lambda, OpenSearch, API Gateway, ALB, others
- Data stores, including Postgres/MySQL, Dynamo, Redis, S3
- Experience with Infrastructure-as-code (IaC) frameworks (e.g. Pulumi, Terraform, CloudFormation, or similar)
- Experience with network design, including public/private availability, routing, firewalls/security groups, and VPN
- Experience with Identity and Access Management
- Experience with configuration management tools (e.g. Chef, Puppet, Ansible, etc)
- Experience with observability tools such as Datadog for metrics, logging, etc
- Experience with build and deploy systems, architecting and developing CI/CD infrastructure, repo management, and integrating with tools like Github Actions (or similar)
- People Thrive Here Who Can...
- Balance high ownership and autonomy with a strong ability to collaborate
- 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
- Are experienced in writing data design docs (pipeline design, dataflow, schema design)
- Can scope and breakdown projects, communicate and collaborate progress and blockers effectively with your manager, team, and stakeholders
Desirable
- Degree in a quantitative discipline such as computer science, mathematics, statistics, or engineering
- Expertise with Apache Spark (Java, Scala, and/or Python-based)
- Experience with SQL Data Pipeline Development
- Experience supporting developer-oriented data pipeline and workflow orchestration (e.g., Airflow (preferred), dbt, dagster, or similar)
- Experience with managing, deploying, and ensuring the reliability of streaming platforms (e.g., Kafka)
- Experience evaluating data quality and maintaining consistently high standards across new feature releases (e.g., consistency, accuracy, validity, completeness)
- Experience using Databricks or similar data-development platforms
- Experience managing hybrid environments split between local datacenters and AWS; experience managing bare metal/co-location infrastructure
What the job involves
- We are looking for individuals who can balance extreme ownership with a “one-team, one-dream” mindset
- Our customers are trying to solve complex problems, and we only help them achieve their goals as a team
- Our Platform Engineering Team oversees the foundational work that the rest of our engineering teams build their success upon
- You will be crucial in accelerating our efforts to build standalone data products that enable data teams and independent developers to create innovative solutions at massive scale
- In this role, you will be working with a team, defining tools and infrastructure that facilitate big data processing, primarily within AWS
- If you are looking to be part of a team discovering the next frontier of data-as-a-service (DaaS) with a high level of autonomy and opportunity for direct contributions, this might be the role for you
- We like our engineers to be thoughtful, quirky, and willing to fearlessly try new things. Failure is embraced at PDL as long as we continue to learn and grow from it
- Manage and improve our growing AWS and data center infrastructures
- Design, implement, and maintain a CI/CD pipeline to improve developer workflows
- Utilize centralized monitoring and logging to improve visibility across the team
- Assist development teams in solving issues around scaling and bottlenecks
- Work with teammates to develop high-quality software, balancing security, reliability, and operational concerns
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
- Stock
- Unlimited paid time off
- Medical, dental, & vision insurance
- Health, fitness, and office stipends
- The permanent ability to work wherever and however you want
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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