Slate (slate.auto) Logo

Slate (slate.auto)

Data Engineer II

Posted 11 Hours Ago
Remote
Hiring Remotely in USA
120K-179K Annually
Mid level
Remote
Hiring Remotely in USA
120K-179K Annually
Mid level
Design, build, and maintain scalable batch and real-time ETL/ELT pipelines on cloud platforms. Architect data models and manage structured and unstructured datasets for analytics and ML. Collaborate with analysts and stakeholders to translate requirements into robust data solutions. Implement and document data transformations, monitor data quality, lineage, system health, and recommend tooling and governance improvements.
The summary above was generated by AI

ABOUT SLATE

At Slate, we’re building safe, reliable vehicles that people can afford, personalize and love—and doing it here in the USA as part of our commitment to reindustrialization. The spirit of DIY and customization runs throughout every element of a Slate, because people should have control over how their trucks look, feel, and represent them.

Who we are looking for:

Slate is looking for an experienced Data Engineer II to help our company be successful in the electric vehicle space.  You must be able to thrive and succeed in a fast-paced startup environment and not be hindered by ambiguity or competing priorities.  Your contributions will have a direct impact on the company’s success as the data team is building a self-serve data platform to create business insights and drive critical decision making

What you get to do:

  • Design, build and maintain scalable, high‑performance data pipelines (ETL/ELT), batch and real‑time, using cloud platforms

  • Architect data models and manage structured, semi‑structured and unstructured datasets to support analytics, business intelligence, machine learning, and operational needs

  • Collaborate with analysts, engineers and business stakeholders to gather requirements and translate into robust data solutions

  • Implement, test and document efficient data transformations, ingestion routines and storage strategies with strong code quality standards

  • Monitor and troubleshoot data quality, lineage, system health and performance

  • Evaluate and recommend new tools, technologies and best practices to improve infrastructure, cost, scalability and governance

What you bring to the team:

  • Bachelor’s degree in computer science, Engineering, or equivalent practical experience 

  • 3+ years experience building data pipelines, modeling, warehousing and ETL/ELT processes 

  • Experience with large, complex datasets from many internal and external data systems.

  • Experience with one or more scripting/programming languages (Python, Java, Scala, Bash, etc.)

  • Experience with cloud data technologies (e.g. AWS, Spark, Redshift, S3, Glue)

  • Familiarity with monitoring systems to ensure that data updates are both timely and complete (e.g., Great Expectations, Monte Carlo, etc).

  • Familiarity with data catalog tooling and lineage tracking for data self-service (e.g., Atlan, OpenMetaData, etc.)

  • Familiarity with data governance and data management frameworks (e.g., Lake Formation, IAM, etc.)

  • Familiarity with metadata management, lineage tracking and security/compliance in data systems

  • Strong communication and collaboration skills with the ability to present technical solutions to non-technical audiences

Applicants must be authorized to work for any employer in the U.S. We are unable to financially sponsor or take over sponsorship of an employment Visa for this opportunity currently.

Salary Range

The compensation  for this position is the range Slate reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; work location; and other relevant business and organizational factors.

Base Pay Range (Annual)

119,662.00 -179,493.00 USD

Additional Compensation and Benefits: Slate offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in the equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  

WHY JOIN TEAM SLATE?

At Slate, we’re fueled by grit, determination, and attention to detail. The start-up spirit of ingenuity and resourcefulness move our business forward. Team Slate fosters a culture of excellence, innovation, and mutual respect, and is motivated by shared principles.

  • Safety First

  • Delight Customers

  • One Team

  • Relentless Improvement

  • Fast, Frugal, and Scrappy

  • Respectful Collaboration

  • Positive Legacy

WE WANT TO WORK WITH PEOPLE THAT REFLECT THE COMMUNITIES IN WHICH WE OPERATE.

Slate is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.

Slate is committed to providing reasonable accommodation for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at

[email protected].

Similar Jobs

11 Hours Ago
Remote
U.S.
95K-119K Annually
Mid level
95K-119K Annually
Mid level
Consumer Web • Digital Media • Information Technology • Music • Software
Build and maintain production data pipelines and models using SQLMesh, BigQuery, and Python. Improve observability, reliability, and performance; support finance and revenue pipelines; participate in on-call rotation and own features end-to-end.
Top Skills: AirflowBigQueryDagsterDbtPrefectPythonSQLSqlmesh
4 Days Ago
Remote
United States
109K-125K Annually
Mid level
109K-125K Annually
Mid level
Cloud • Healthtech • Information Technology • Software • Consulting
Design, implement, and maintain data interactions and backend systems using Python and Apache Spark. Build APIs, optimize ETL and distributed data processes, contribute to UI and automated testing, and support CI/CD-driven deployments within an agile team focused on healthcare quality reporting.
Top Skills: SparkAPIsCi/Cd PipelinesData ModelingData WarehousesDatabasesDistributed ComputingETLOrchestrationPython
7 Days Ago
Easy Apply
Remote
United States
Easy Apply
146K-225K Annually
Junior
146K-225K Annually
Junior
Big Data • Fintech • Mobile • Payments • Financial Services
Build and operate ML training and serving infrastructure; design, develop, and launch backend systems; collaborate across teams to decompose projects; maintain availability through monitoring and on-call support; review and debug large codebases; contribute to hiring and team growth.
Top Skills: AWSKotlinKubernetesMySQLPython

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account