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Data Bi Engineer Jobs (NOW HIRING)

Data & BI Engineer - Odos

San Francisco, CA · On-site +1

$134K - $162K/yr

Role Overview We are seeking a Data & BI Engineer responsible for the design, reliability, and scalability of Odos's transaction data pipelines, business intelligence metrics, and Tableau dashboards

Data Business Intelligence (BI) Architect role is a hybrid of data architecture, engineering & business strategy, bridging the gap between tech data solutions & business objectives. Designs, develops ...

Details: Sr. BI Engineer Location: Washington DC (1-2 days/month onsite) / 100% remote is also ok ... Work with Business Owners, Data Warehouse teams and Business Intelligence teams [On Looker/Tableau ...

Lead BI Engineer

New York, NY · On-site

$180K - $210K/yr

About the Role You will be the founding BI Engineer at Altana, responsible for building the ... You will own the full stack from data modeling and pipeline orchestration through semantic layers ...

Project Manager (Data & BI)

Mckinney, TX · On-site

$48 - $64.75/hr

Job Title: Project Manager (Data & BI) Location: Mckinney, TX (4 Days onsite) Employment Type ... Experience managing Data Engineering, Data Analytics, or Business Intelligence projects. * Strong ...

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Senior BI Engineer, Data

Lititz, PA · On-site +1

$98K - $133K/yr

As a Senior BI Engineer , you will architect and own the next generation of our enterprise data ingestion ecosystem. You will lead the creation of a unified ingestion framework into Snowflake ...

The Lead BI Engineer will be responsible for building the analytical infrastructure that drives data-driven decision-making across the company, setting the technical direction and quality standards ...

The Lead BI Engineer will be responsible for building the analytical infrastructure that enables data-driven decision-making across the company, partnering with various departments to translate ...

Iselin, NJ (Hybrid) Inperson interview required at Iselin, NJ Contract Power BI Engineer We are ... data models, DAX measures, Power Query transformations, and reusable reporting components. ● ...

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

... Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio ...

BI Engineer

Cleveland, OH · On-site

$49.50 - $64.25/hr

You bring our data to life. Your dashboards and models help teams understand performance and make ... data engineering roles. Proficiency in BI and visualization tools such as ThoughtSpot, Power BI ...

BI Engineer

Columbus, OH · On-site

$49.25 - $64/hr

You bring our data to life. Your dashboards and models help teams understand performance and make ... data engineering roles. Proficiency in BI and visualization tools such as ThoughtSpot, Power BI ...

About the Role You will be the founding BI Engineer at Altana, responsible for building the ... You will own the full stack from data modeling and pipeline orchestration through semantic layers ...

Reporting to the Director, Finance Data & BI , this Data Engineer will serve as an agile technical partner to Data Product, Architecture, Business Intelligence, Data Science, Finance Analysts, and ...

BI Engineer

Columbus, OH · On-site

$49.25 - $64/hr

You bring our data to life. Your dashboards and models help teams understand performance and make ... engineering roles. • Proficiency in BI and visualization tools such as ThoughtSpot, Power BI ...

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Data Bi Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data bi engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data bi engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are Data BI Engineers?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

How does a Data BI Engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What are the key skills and qualifications needed to thrive as a Data BI Engineer, and why are they important?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.
More about Data Bi Engineer jobs
What cities are hiring for Data Bi Engineer jobs? Cities with the most Data Bi Engineer job openings:
What states have the most Data Bi Engineer jobs? States with the most job openings for Data Bi Engineer jobs include:
Infographic showing various Data Bi Engineer job openings in the United States as of July 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 70% In-person, 6% Hybrid, and 24% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data & BI Engineer - Odos

De Circle

San Francisco, CA • On-site, Remote

$134K - $162K/yr

Full-time

Re-posted 23 days ago


Job description

About Odos
Odos is the most advanced Smart Order Routing protocol in DeFi - aggregating liquidity across 16+ EVM chains to deliver the best execution paths for swaps, bridges, and limit orders. With billions in total volume and millions of unique wallets, we're expanding our data and analytics capabilities to better understand our users, optimize routing algorithms, and support new products like Protected Swaps, Multi-Token Swaps, and Loyalty Programs.
Role Overview
We are seeking a Data & BI Engineer responsible for the design, reliability, and scalability of Odos's transaction data pipelines, business intelligence metrics, and Tableau dashboards. This role will bridge on-chain trade data with user and loyalty program analytics, enabling the product, growth, and finance teams to make data-driven decisions.
You will own the transaction database layer and help build a unified analytics view of Odos operations - from trade volume and fee revenue to wallet activity, rewards, and partner performance.
Responsibilities
  • Data Infrastructure
    • Maintain and scale the Odos transaction and event database (Redis, PostgreSQL, or equivalent).
    • Build ETL pipelines from on-chain data sources, APIs, and internal services.
    • Ensure data integrity, consistency, and query performance across chains and order types.
  • Business Intelligence & Reporting
    • Define and track key metrics (e.g., total volume, route count, fee revenue, average slippage, gas savings, wallet activity).
    • Develop and maintain Tableau dashboards and automated reporting for the leadership team.
    • Collaborate with product and growth teams to design campaign and feature-specific analytics (Protected Swaps, Multi-Token Swaps, etc.).
  • Loyalty & User Analytics
    • Integrate and analyze loyalty program data - wallet tiers, reward distribution, retention, and ROI.
    • Work with marketing and growth teams to attribute traffic and measure referral or loyalty campaigns.
  • Cross-Functional Collaboration
    • Partner with backend engineers on event schemas and pipeline performance.
    • Support finance and ops with data exports for audits, investors, and DAO reporting.

  • 3+ years experience in data engineering or BI development (preferably in fintech, crypto, or trading).
  • Strong SQL proficiency and familiarity with Redis, PostgreSQL, and time-series data.
  • Experience with Tableau (or equivalent BI tool) - data modeling, calculated fields, dashboard automation.
  • Proficiency in Python or similar scripting language for ETL and data analysis.
  • Familiarity with on-chain data, DEX trade logs, or blockchain analytics tools (e.g., Dune, Flipside, The Graph).
  • Understanding of DeFi protocols, swaps, liquidity pools, and wallet behavior.
  • Strong communication skills, ability to turn raw data into clear business insights.
Nice to Have
  • Experience integrating blockchain indexers or running custom subgraphs.
  • Familiarity with The Graph protocol and decentralized data indexing.
  • Experience designing metrics for revenue forecasting and incentive programs.