Job Closed

This listing is no longer active.

Keeper Security, Inc. logo
Keeper Security, Inc.

Manage, protect and monitor all your organization's passwords, secrets and remote connections with zero-trust security

Data Engineer, Analytics, Machine Learning Enablement

Data EngineerData EngineerOtherRemoteSeniorTeam 501-1,000Since 2011H1B No SponsorCompany SiteLinkedIn

Location

California + 1 moreAll locations: California | Illinois

Posted

103 days ago

Salary

0

Seniority

Senior

Bachelor Degree3 yrs expEnglishAmazon RedshiftAWSBigQueryPythonSQL

Job Description

Data Engineer, Analytics, Machine Learning Enablement

Keeper Security, Inc.

• Build and maintain ELT pipelines that ingest and transform data from operational systems • Develop analytics-ready data models to support reporting, KPIs, and downstream ML use cases • Collaborate with analysts and ML engineers to ensure data structures meet modeling and feature needs • Implement data quality checks, validation, and testing to ensure accuracy and reliability • Optimize data pipeline performance, scalability, and cost efficiency • Support data preparation and feature engineering workflows for machine learning initiatives • Document data models, transformations, and lineage to support reuse and data literacy • Partner with security and platform teams to ensure data governance and privacy requirements are met

Job Requirements

  • 3–5 years of experience in data engineering or backend data systems (SaaS experience preferred)
  • Strong proficiency in SQL and experience designing analytics data models
  • Working knowledge of Python for data processing or pipeline orchestration
  • Experience working with cloud data warehouses such as Amazon Redshift (Snowflake or BigQuery acceptable)
  • Familiarity with AWS data services such as S3, Glue, Lambda, or Step Functions
  • Understanding of ELT best practices, data modeling, and schema design
  • Exposure to supporting machine learning workflows through data preparation or feature engineering
  • Knowledge of data security and privacy principles, including handling regulated data (PII, PHI)
  • Strong software engineering fundamentals, including version control, testing, and CI/CD practices
  • Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field
  • Due to FedRAMP requirements, candidates must be a U.S. Person.

Benefits

  • Medical, Dental & Vision (Inclusive of domestic partnerships)
  • Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
  • Voluntary Short/Long Term Disability Insurance
  • 401k (Roth/Traditional)
  • A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
  • Above market annual bonuses

Related Categories

Related Job Pages

More Data Engineer Jobs

Komatsu Poland Sp. z o.o. logo

Senior Data Engineer – Azure, AI, język niemiecki

Komatsu Poland Sp. z o.o.

Maszyny budowlane - sprzedaż, wynajem, serwis. Jesteśmy wyłącznym dystrybutorem maszyn Komatsu w Polsce.

Data Engineer103 days ago
Full TimeRemoteTeam 51-200Since 2005H1B No Sponsor

• Wspieraniu klientów w tematyce inżynierii i analityki dużych zbiorów danych w środowisku chmurowym – tworzenie rozwiązań od koncepcji po wdrożenie oraz inne fazy procesu SDLC/DDLC • Definiowaniu rozwiązań Data Intelligence i zarządzaniu ich wdrażaniem pod kątem technicznym i metodycznym • Wspieraniu celów biznesowych naszych klientów poprzez opracowywanie i wdrażanie rozwiązań analitycznych • Budowaniu Proof of Concept (PoC) i nadzorowaniu architektury Microsoft dla naszych klientów • Dzieleniu się wiedzą i pełnieniu funkcji trenerskiej w zakresie Azure Data Intelligence, oferowaniu wsparcia pracownikom, związanego z tematyką BI i analityką danych • Współpracy z innymi działami biznesowymi w celu dostarczania przydatnych rozwiązań analitycznych • Proponowaniu nowych możliwości wykorzystania danych, wdrażaniu nowoczesnych rozwiązań analitycznych oraz dbaniu o najwyższą jakość analiz i raportów, które pomagają kształtować strategiczne decyzje biznesowe

Poland
Accelint logo

Senior Data Engineer – SIE

Accelint

Accelerating Intelligence

Data Engineer103 days ago
OtherRemoteTeam 501-1,000Since 2023H1B No Sponsor

• Provide technical leadership and analytical expertise in data engineering, modeling and simulation (M&S), and systems analysis • Manage the technical execution of complex readiness, sustainment, and logistics modeling efforts • Integrate multidisciplinary engineering methodologies to ensure model development, data management, and analytical outputs align with program objectives • Collaborate with software developers, data scientists, and product managers to understand requirements and align on project goals • Design and implement data solutions that support software development initiatives • Participate in planning sessions to develop data pipeline architecture that aligns with project requirements • Design data ingestion, transformation, and storage workflows that are scalable • Implement data quality checks and validation procedures to ensure data accuracy and integrity • Conduct comprehensive testing, ensuring application quality and functionality stay in specifications • Document data engineering processes and ensure accuracy and completeness of all documentation • Manage projects, including planning, execution, and delivery

United States
$140K - $170K / year
Job Closed
Rimutee logo

Data Engineer

Rimutee

We believe LATAM digital & tech talent need to expand their reach.

Data Engineer103 days ago
Full TimeRemoteTeam 11-50H1B No Sponsor

• Building scalable data solutions in the cloud. • Developing high-quality metrics and pipelines. • Real-time processing systems development.

Dominican Republic
Full TimeRemoteTeam 51-200Since 2020H1B No Sponsor

• Responsible for building, maintaining, and scaling big data platforms • Work closely with Data Science teams to set up and automate machine learning models and algorithms for production use • Build and optimize ETL/ELT data pipelines that power business intelligence and analytics initiatives • Transform raw, structured, and semi-structured data into actionable insights • Leverage cloud services (AWS preferred) including Lambda, S3, SageMaker, and more to build scalable data solutions • Pair program with engineers, support analytics teams, and work within CI/CD pipelines

Portugal
Job Closed