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Data Bi Engineer Jobs (NOW HIRING)

De Circle

Data & BI Engineer - Odos

San Francisco, CA · On-site +1

$134.90K - $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

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Data BI Developer for one of our partners, a global leader in the IT Services and IT Consulting. Key Responsibilities * Leading, designing ...

MTW SOLUTIONS, LLC

Data & BI Developer

Overland Park, KS · On-site

$85K - $88K/yr

A Data and BI Developer is expected to support MTW's Software Development team by providing guidance for effective SQL development and query optimization. A Data and BI Developer will work in ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

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 ...

Pediatric Associates

Sr. BI Engineer

Plantation, FL · On-site

This position will work closely with data engineering, application teams, and business stakeholders to translate complex requirements into technical BI solutions. Responsibilities include writing ...

Shermco Industries, Inc.

Senior BI Engineer

Irving, TX

$120K - $135K/yr

We are seeking a highly skilled Senior BI Engineer to join our dynamic Data & Analytics team. This role is pivotal in advancing the maturity and scalability of our data estate and business ...

NAVA Software Solutions

Sr. BI Engineer

Washington, DC · On-site

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 ...

Pediatric Associates

Sr. BI Engineer

Plantation, FL · On-site +1

This position will work closely with data engineering, application teams, and business stakeholders to translate complex requirements into technical BI solutions. Responsibilities include writing ...

Altana

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 ...

Tech Tammina LLC

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 ...

WebstaurantStore

Senior BI Engineer, Data

Lititz, PA · On-site +1

$98.20K - $133.40K/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 ...

West Coast Consulting

BI Engineer

San Jose, CA · Hybrid

$72 - $75/hr

HYBRID IN SAN JOSE, CA Senior BI Engineer with strong SQL + dimensional modeling (star/snowflake, SCD) + data warehouse experience supporting Sales/Finance/CRM data. Top Must-Haves 1. Advanced SQL ...

West Coast Consulting LLC

BI Engineer

San Jose, CA · Hybrid

$59.75 - $77.75/hr

Senior BI Engineer with strong SQL + dimensional modeling (star/snowflake, SCD) + data warehouse experience supporting Sales/Finance/CRM data. Top Must-Haves 1. Advanced SQL / PL-SQL (7-10 yrs ...

INSPYR Solutions

Data BI Analyst

Nashville, TN · On-site

$46 - $48/hr

Data BI Analyst Location: Nashville, TN Duration: Long-term/Perm W2 Contract Compensation: $46-48 ... Act as a liaison between business stakeholders and data engineering teams to ensure data ...

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Data Bi Engineer information

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$44.5K

$129.7K

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How much do data bi engineer jobs pay per year?

As of May 29, 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 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.

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 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.

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Data Bi Engineer jobs near you

Data & BI Engineer - Odos

De Circle

San Francisco, CA • On-site, Remote

$134.90K - $162K/yr

Full-time

Posted 12 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.

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