BlueLabs Analytics Logo

BlueLabs Analytics

Data Engineer II

Posted Yesterday
Remote
Hiring Remotely in USA
95K-125K Annually
Senior level
Remote
Hiring Remotely in USA
95K-125K Annually
Senior level
Data Engineer II will modernize BlueLabs’ data platform by leading Kimball dimensional modeling and legacy warehouse migrations, building reliable production data pipelines, and enforcing data quality standards. The role requires advanced SQL, Python, and dbt expertise, hands-on Snowflake and Redshift experience, and ownership of testing, documentation, observability, and scalable architecture. The engineer will collaborate cross-functionally, guide Data Engineer I team members, contribute to architectural decisions, and translate business logic into maintainable, cloud-agnostic data layers.
The summary above was generated by AI

About BlueLabs

BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world’s greatest social and analytical challenges. Since our inception we’ve worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.

About the role:

As a Data Engineer II, you will be a key technical contributor working directly alongside the Director of Data to advance the vision and maturity of our data platform. This role is focused on elevating data quality, driving platform modernization, and leading the migration of existing data systems to a Kimball/star schema architecture. You will take ownership of complex, high-impact engineering work — moving from contributor to driving force on data modeling standards, hygiene practices, and the long-term scalability of our data infrastructure.

In this position you will:

  • Partner directly with the Director of Data to translate platform vision into engineering execution
  • Lead the design and implementation of Kimball-style dimensional models and star schema architectures, migrating legacy data systems to a modern, scalable foundation.
  • Own and enforce data hygiene standards across the platform — identifying, documenting, and remediating data quality issues proactively.
  • Design, build, and maintain production-grade data pipelines with a focus on reliability, observability, and maintainability.
  • Develop and champion best practices for data modeling, transformation, and testing across the engineering team.
  • Drive the extraction and codification of business logic from existing systems into well-documented, portable, cloud-agnostic layers.
  • Collaborate with analysts, engineers, and stakeholders to ensure data models meet both current reporting needs and future platform requirements.
  • Provide technical guidance and mentorship to Data Engineer I team members.
  • Contribute to architectural decisions and participate in design reviews, bringing a principled, opinionated perspective on platform direction.
  • Support and improve documentation standards to ensure the codebase and data platform remain well-understood across the team.

What we are seeking:

  • 5+ years of experience in data engineering, with a demonstrated track record of owning and delivering complex data platform initiatives.
  • Deep expertise in dimensional modeling, including Kimball methodology and star/snowflake schema design.
  • Experience leading or significantly contributing to data warehouse migrations or platform modernization efforts.
  • Advanced proficiency with SQL and Python; ability to write production-quality, well-tested, maintainable code.
  • Strong command of dbt, including advanced features such as custom tests, macros, packages, and documentation generation.
  • Hands-on experience with Snowflake & Redshift and modern data stack tooling.
  • A systematic, principled approach to data quality — experience implementing data hygiene frameworks, validation pipelines, and monitoring.
  • Ability to operate with autonomy and drive work forward in ambiguous or evolving problem spaces.
  • Strong communication skills with the ability to articulate technical decisions to both engineering and non-engineering stakeholders.
  • Passion for applying technical skills to social impact work and the ability to thrive in a cross-functional, mission-driven team.
  • Other duties as assigned. 

What We Offer:

BlueLabs offers a friendly work environment and competitive compensation and benefits package including:

  • Salary: $95,000 - $125,000
  • Premier health insurance plan
  • 401K matching
  • Unlimited vacation leave
  • Paid sick, personal, and volunteer leave
  • 13 paid holidays
  • 15 weeks paid parental leave
  • Professional development stipend & tuition reimbursement
  • Employee Assistance Program (EAP)
  • Supportive & collaborative culture
  • Flexible working hours
  • Remote friendly (within the U.S.)
  • And more!

The salary range for candidates who meet the minimum posted qualifications reflects the Company's good faith understanding and belief as to the wage range, and is accurate as of the date of this job posting.

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify. 

Collection of Personal Information Notice:

As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.

Similar Jobs

2 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
137K-231K Annually
Senior level
137K-231K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architects the data and AI foundation for marketing, sales, and analytics. Responsibilities include building Databricks pipelines, Gold Layer tables, semantic models, documentation, AI-enabled data products, and production LLM or agent systems. The role leads cross-functional initiatives, translates ambiguous business needs into scalable solutions, ensures data quality and reliability, mentors engineers, automates workflows, and partners with BI, data science, marketing, sales, and R&D teams.
Top Skills: Ai AgentsBigQueryClaude CodeCursorData WarehousesDatabricksDbtEtl/EltLakehouse ArchitecturesLlmsMarketing AutomationMartechPythonSalesforceSemantic LayersSnowflakeSQLStreamlitWeb Analytics
7 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
137K-231K Annually
Senior level
137K-231K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and documentation for self-service analytics. Lead cross-functional data initiatives, ensure reliability and quality, mentor engineers, and build production LLM and agent systems. Translate ambiguous business needs into scalable solutions, automate marketing and go-to-market workflows with AI, and deliver high-quality Python and SQL while overseeing AI-generated code.
Top Skills: Ai AgentsBigQueryClaude CodeCursorDatabricksDbtLlmsPythonSalesforceSnowflakeSQLStreamlit
7 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
137K-231K Annually
Senior level
137K-231K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and ETL/ELT workflows. Build trusted data products for analytics, automation, and AI agents; translate ambiguous business needs into scalable solutions; lead cross-team initiatives; ensure reliability and data quality; mentor engineers and analysts; and develop, evaluate, and monitor production LLM and agent systems using Python and SQL.
Top Skills: Ai AgentsBigQueryClaude CodeCursorDatabricksDbtEtl/EltLlmsPythonSalesforceSnowflakeSQLStreamlit

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