Senior Software Engineer, People Data Labs
Platform
$160-180k
+ Stock
Data partner for data science and engineering teams
Be an early applicant
Data partner for data science and engineering teams
101-200 employees
Be an early applicant
$160-180k
+ Stock
101-200 employees
Company mission
To empower engineers, product developers, and data scientists with the data they need to power innovation and provide better and more comprehensive results for their end-users, and transparency is a huge part of that mission.
Role
Who you are
- 5-7+ years 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, cloud formation 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)
- Experience managing hybrid environments split between local datacenters and AWS; experience managing bare metal / co-location infrastructure
- Can 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 and in documentation
- You are experienced in writing design docs (pipeline design, dataflow, schema design, engineering requirements)
- You are experienced in translating technical design documents into projects, milestones, and backlogs
- You can scope and break down projects, communicate and collaborate progress and blockers effectively with your manager, team, and stakeholders
- Strong understanding of agile engineering practices
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
What the job involves
- We’re looking for an experienced software engineer to join our expanding platform team
- 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 facilitates big data processing, primarily within AWS
- Roles & Responsibilities
- 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
- Manage AWS services, costs, security and workflows
- 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
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 values
- Developer tested
- Enterprise approved
- Responsibly managed
Company HQ
South Beach, San Francisco, CA
Articles
Leadership
Sean Thorne
(CEO)Co-founded Hallspot in 2012, and People Data Labs in 2015.
Henry Nevue
(President)Co-founded People Data Labs in 2015.
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