Cape Productions Logo

Cape Productions

Data Engineer

Posted Yesterday
Be an Early Applicant
Hybrid
New York, NY, USA
Mid level
Hybrid
New York, NY, USA
Mid level
Design and build Cape's privacy-first data platform including warehouse, query layer, and pipelines. Implement privacy-preserving practices, provide self-serve analytics (dashboards, metrics, reports), and establish data engineering standards, testing, and documentation while collaborating across engineering, product, and business teams.
The summary above was generated by AI
About Cape

Cape is America’s privacy-first mobile carrier. Our mission is to be a force for good in global wireless. Cape was founded in 2022 by people who believe privacy is a fundamental right, not a luxury to be traded away. Our journey began when our founder recognized a critical vulnerability in our modern world: everyone relies on the same stagnant cellular infrastructure and legacy systems that track our every movement, monitor and profile our connections, and lose and sell our personal data.

Instead of accepting the status quo, we decided to fix it. National security professionals, journalists, parents, and everyone in between can stay connected and have privacy.

We didn’t just build a layer on top of old tech; we built America’s most private and secure mobile carrier from the ground up. By building our own network from scratch, we are able to design and build a suite of privacy and security features that no other carrier on the planet can offer.

Today, Cape provides our secure network to consumers, businesses, and government agencies alike. We closed our Series C in March 2026, and we are scaling rapidly, with the goal of giving people back control of their most personal information.

The Team

At Cape, we are the architects of a privacy-centric movement that is just getting started. We are relentless builders, constantly innovating at the edge of what’s possible in telecommunications. We operate on a foundation of high trust and high expectations. As a member of our team, you will collaborate with world-class engineers, architects, and visionaries, and work across organizational lines to solve "impossible" problems and deliver mission-critical results for our users every single day.

As a Data Engineer at Cape, your mission is to build the analytics and reporting infrastructure that lets us understand our product and business without compromising the privacy guarantees we make to our customers. Privacy isn't a constraint layered on top of our data systems; it's a design requirement baked into them from the start.

You'll chart the course for Cape’s data infrastructure and your work will give the business first-class visibility into growth, operations, and product health built the right way from day one.

Here are some ways you’ll make an impact

  • Own the Infrastructure: Design and build Cape's data platform from the ground up, spanning the warehouse, query layer, and pipeline orchestration, built with privacy as a first-class requirement from day one.

  • Privacy-First by Default: Work closely with engineering to establish privacy-preserving patterns and practices that the rest of the company builds on.

  • Enable the Business: Give product, operations, and leadership the self-serve analytics they need such as dashboards, metrics, and reports that answer real questions.

  • Set the Standard: Establish the data engineering practices Cape will build on such as pipeline conventions, testing, documentation, and a culture of treating data infrastructure with the same rigor we apply to our telecom stack.

Are you the candidate we are looking for?
Preferred

  • 4+ years of professional data engineering or software engineering experience, with meaningful time building data pipelines and warehouses.

  • Strong SQL and data modeling skills, with experience designing schemas for analytics workloads.

  • Fluency in Python, Go, or another backend language.

  • Hands-on experience with a cloud data warehouse such as Snowflake, BigQuery, MongoDB or Redshift.

  • Familiarity with ETL/ELT frameworks and workflow orchestration tools.

  • A solid understanding of privacy-preserving data practices including access control, data minimization, and identifier management.

  • Strong written and verbal communication skills, with the ability to work effectively across engineering, product, and business stakeholders.

Nice to Have

  • Experience in a regulated or privacy-sensitive industry (telecom, healthcare, fintech).

  • Background in differential privacy, k-anonymity, or other formal privacy models.

Our Culture & Values
  • We hire excellent people, give them outsized responsibility, and trust them to execute. Every person at Cape has a proven track record of tackling hard problems and winning.

  • We believe that personal privacy and national security are not at odds, and that they can be reconciled through strong technology.

  • We believe companies exist to build awesome things and take care of the people who build them, so we offer top-tier healthcare, 401(k) matching, and a generous vacation policy that our team actually uses to recharge.

  • We believe that a stronger company and a better product are built by people from all walks of life. We hire without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital status, disability, or Veteran status. If you are great at what you do, you belong here.

How to apply

Click the link below to apply.

We reserve the right to make use of any unsolicited resumes received from outside recruiting agencies and / or individual recruiters without being responsible for payment of any fees asserted from the use of unsolicited resumes.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, and without regard to disability or status as a protected veteran, or any other status protected by law.

Similar Jobs

2 Days Ago
Hybrid
New York, NY, USA
81K-116K Annually
Mid level
81K-116K Annually
Mid level
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Build and maintain dbt pipelines and real-time ingestion using PySpark and AWS Glue. Apply software engineering best practices, review code in Git, and collaborate with data scientists and stakeholders to source, govern, and deliver reliable data for analytics and AI. Translate requirements into Jira stories and support deployment, tooling, and data governance across the enterprise.
Top Skills: Aws GlueDatabricksDbtGCPGenerative AiGitJIRAKafkaPysparkPythonSQL
4 Days Ago
Remote or Hybrid
New York, NY, USA
215K-250K Annually
Senior level
215K-250K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Mobile • Payments • Retail • Software
Own and modernize Upsides analytics data platform: migrate pipelines, reduce cost, improve governance, design reusable modeling/orchestration patterns, deliver domain-critical data products, lead cross-functional initiatives, mentor engineers, and support ML and product teams.
Top Skills: AWSCi/CdDagsterDatabricksDbtSnowflakeTerraform
4 Days Ago
Hybrid
New York, NY, USA
124K-177K Annually
Senior level
124K-177K Annually
Senior level
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Design, build, and optimize SQL and NoSQL database solutions (PostgreSQL, Elasticsearch, DynamoDB). Develop stored procedures, functions, triggers, and complex queries. Implement CDC and AWS DMS, manage platform via GitHub/CI-CD and Terraform, monitor and tune performance, participate in Level 3 on-call, and collaborate with analysts, architects, and developers to deliver scalable data services.
Top Skills: AWSAws MskChange Data Capture (Cdc)Ci/CdDms (Aws Database Migration Service)DynamoDBElasticsearchGitNoSQLPostgresSQLTerraform

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account