Velir Logo

Velir

Senior Analytics Engineer

Posted 16 Days Ago
Remote
Hiring Remotely in USA
135K-150K Annually
Senior level
Remote
Hiring Remotely in USA
135K-150K Annually
Senior level
Leads scalable data model and pipeline design, dbt development, testing, CI/CD, and analytics engineering implementations. Partners with analysts, engineers, and stakeholders to translate business needs into reliable models and semantic layers. Advises on data architecture, governance, quality, performance, and long-term scalability while mentoring peers and contributing to shared tooling, standards, and frameworks.
The summary above was generated by AI

Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics.

At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits.

Overview

At Brooklyn Data, Senior Analytics Engineers lead the design and implementation of scalable data models and pipelines that turn complex data into clear, trustworthy insights. They work closely with functional leadership and data solutions partners to shape data architectures and modeling strategies that align with client goals and deliver measurable impact. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. 

Responsibilities

Engineering Leadership

  • Lead complex technical implementations, shaping data architecture and transformation pipelines that prioritize performance, maintainability, and reusability.
  • Drive adoption of best practices for dbt development, testing, and CI/CD while mentoring peers through code reviews, pairing, and technical guidance.
  • Contribute to internal tooling, shared dbt packages, and scalable frameworks that raise the standard of analytics engineering across teams and clients.

Cross-Team Collaboration

  • Partner with analysts, engineers, and stakeholders to translate complex and often ambiguous business requirements into well-structured data models and semantic layers.
  • Serve as a technical and strategic advisor in cross-functional planning—balancing stakeholder requirements, data governance, and long-term scalability.
  • Model strong communication and mentorship, helping other AEs and cross-functional teammates develop clarity and confidence in data architecture decisions.

Project Enablement

  • Lead end-to-end delivery of analytics engineering workstreams, ensuring solutions are reliable, well-documented, and aligned with client objectives.
  • Anticipate and address systemic data quality or modeling issues, implementing durable solutions that improve trust and efficiency across the stack.
  • Enable sustainable project delivery by optimizing performance, reducing technical debt, and contributing to shared standards that scale across teams.
Skills & Qualifications
  • Programming languages (e.g., SQL, Python) 
  • Business intelligence platforms (e.g., PowerBI, Sigma) 
  • Expert proficiency in dbt is required.  
  • Expert proficiency in data modeling approaches and philosophies (e.g., Kimball, OBT)  
  • Expert proficiency with at least one cloud data warehouse (e.g., Snowflake, BigQuery)  
  • Expert proficiency with version control and git.  
  • Knowledge of common data integration patterns (e.g., CDC, ELT, etc.) 
  • Knowledge of common data integration / orchestration platforms (e.g., Fivetran, Dagster, Apache Airflow) 
  • Ability to communicate with professional proficiency in English, verbally and in writing. 

Bonus points for:

  • Strong analytical instincts—you can spot patterns, anomalies, and relationships across large, complex datasets.
  • Experience working with event-driven data pipelines or pub/sub architectures to move and process data efficiently across systems.
  • Experience using AI or automation tools to enhance analytics engineering workflows—whether for testing, documentation, or performance optimization.
Physical Requirements
  • Frequent sitting at a desk performing work on a computer
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
Compensation Range: $135,000 - $150,000 annually

Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role.

 
Core Company Values
  • Take the Long View - Ensure the company is built to last
  • Be Courageous - Make the right decisions even when they aren't the easiest decisions
  • Be Genuine - Bring honesty and authenticity to all that you do
  • Work with Focus + Passion - Display purpose and pride in your work and never stop learning

As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure.

At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.


Similar Jobs

2 Days Ago
Remote
USA
185K-240K Annually
Senior level
185K-240K Annually
Senior level
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Build Deepgram’s governed decision layer above warehouse gold tables. Responsibilities include modeling cross-system entities, owning semantic and metrics definitions, creating agent-facing data tools and MCP surfaces, implementing data quality assertions and reconciliation checks, evaluating AI agent accuracy, and answering business questions while leaving reusable models behind. The role requires production-grade SQL and Python, semantic-layer ownership, strong data modeling judgment, AI-native workflows, clear writing, and comfort building infrastructure from scratch.
Top Skills: AthenaCubeDbtIcebergLookmlMcpPythonSalesforceSQLStripeTrino
15 Days Ago
In-Office or Remote
New York, NY, USA
139K-245K Annually
Senior level
139K-245K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Own end-to-end analytics engineering for AI and developer-experience telemetry, including instrumentation, production pipelines, governed metrics, monitoring, executive dashboards, and analysis. Define and validate new measures of AI productivity and ROI, communicate findings to senior stakeholders, and recommend improvements to tooling, processes, and investment. Collaborate with data engineering, applied AI, and data science teams while using AI coding agents to build and maintain pipelines and reporting.
Top Skills: Ai Coding AgentsCi/CdDbt Semantic LayerGitGoverned Metrics StoreLlm-Based Classification ToolingLookmlPythonReactSnowflakeSQLTypescript
16 Days Ago
Remote or Hybrid
New York, NY, USA
139K-245K Annually
Senior level
139K-245K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Own AI and developer-experience analytics end to end, including telemetry instrumentation, production data pipelines, metric governance, executive dashboards, and analysis. Define trustworthy metrics from evolving signals, monitor pipeline quality, communicate insights to senior stakeholders, and recommend actions to improve AI ROI and developer productivity. Use AI coding agents to build and maintain pipelines, dashboards, and analyses while partnering with data engineering, applied AI, and data science teams.
Top Skills: Ai Coding AgentsCi/Cd PipelinesDbt Semantic LayerGitGoverned Metrics StoreLlm-Based Classification ToolingLookmlPythonReactSnowflakeSQLTypescript

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