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Data Engineer Data Analyst Jobs (NOW HIRING)

1-800-Flowers

Data Analyst

Jericho, NY · On-site

$90K - $110K/yr

Work with data engineers to validate that delivered solutions meet documented requirements ... Experience supporting BI and analytics tools such as Sigma, Power BI, Tableau, or Looker . * Solid ...

New

Compunnel

Data Analyst

Greensboro, NC · On-site

Required Qualifications • Bachelor's degree in Engineering, Computer Science, Mathematics ... data analytics role. • Experience creating and maintaining Power BI dashboards. • Strong SQL ...

Carmax

Sr. Analyst, Retail Data Strategy

Richmond, VA · On-site

$85K - $107K/yr

This role sits at the intersection of data engineering and business analytics, partnering across Data Engineering, Technology and Product, and Strategy Analysts to build and maintain the data ...

Georgia IT

Data Analyst

Windsor, CT · On-site

The ideal candidate will work closely with business leaders, data engineers, and BI teams to ensure high-quality, accurate, and timely data analysis. Key Responsibilities • Lead the design and ...

Jobsultant Solutions

Data Analyst

Charlotte, NC

Data Scientist under general supervision will perform data engineering, data modeling and model deployment. Analyze large scale complex business data (time series data, structured/unstructured) from ...

HII

DATA ENGINEER - DATA SCIENCE TEAM

Newport News, VA · Hybrid

$104K - $131K/yr

Set operational specifications, and formulate and analyze software requirements. May design embedded systems software. We are looking for a highly skilled Data Engineer to join our Data Science team.

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

Support ETL processes and collaborate with developers and stakeholders to ensure solutions align with business needs and are feasible * Perform data validation, testing, and root cause analysis to ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

The Data Analyst / Front-End App Developer is responsible for designing, building, and maintaining analytics and front-end data applications that support Purchasing data products. The role focuses on ...

Enroute

DATA ENGINEER - DATA CONVERSIONS JR-MID

$117K - $140K/yr

This is an analysis-first role with a data engineering component: the primary work is to deep-dive into data, trace and reconcile information across multiple data layers (databases and files), build ...

Busek Co Inc

Data Analyst

Natick, MA · On-site

Analyze data generated from engineering testing, production, and manufacturing activities to ... identify trends, anomalies, and opportunities for improvement. * Develop reports, dashboards, and ...

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Data Engineer Data Analyst information

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$34K

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How much do data engineer data analyst jobs pay per year?

As of Jul 8, 2026, the average yearly pay for data engineer data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized expertise, leadership roles, and sometimes stock options or bonuses.

How do Data Engineer Data Analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

Is a data engineer the same as a data analyst?

A data engineer designs, builds, and maintains data pipelines and infrastructure, focusing on data collection and storage. A data analyst interprets and analyzes data to generate insights and reports. While both roles work with data, they have different skill sets and responsibilities, often requiring knowledge of tools like SQL, Python, or cloud platforms.

What pays more, a data engineer or a data analyst?

Data engineers typically earn higher salaries than data analysts due to their advanced skills in building data pipelines, working with big data tools, and managing infrastructure. While salaries vary by experience and location, data engineering roles often require knowledge of programming languages like Python or Java and cloud platforms, which contribute to higher compensation.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What does a data engineer analyst do?

A data engineer analyst designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large datasets. They work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for analysis, often collaborating with data scientists and business teams.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

More about Data Engineer Data Analyst jobs
What cities are hiring for Data Engineer Data Analyst jobs? Cities with the most Data Engineer Data Analyst job openings:
What states have the most Data Engineer Data Analyst jobs? States with the most job openings for Data Engineer Data Analyst jobs include:
What job categories do people searching Data Engineer Data Analyst jobs look for? The top searched job categories for Data Engineer Data Analyst jobs are:
Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

1-800-Flowers

Jericho, NY • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

1-800-Flowers rating

7.2

Company rating: 7.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

We are seeking a technically strong and detail-oriented Data Analyst to join our Business Intelligence team. This role is ideal for someone who excels at bridging the gap between business needs and data solutions.
In this role, you will work closely with business stakeholders to gather and clarify requirements, analyze existing data pipelines (built in Coalesce.io), and translate business needs into clear, structured documentation for development teams. You will play a key role in ensuring data products are well-defined, consistent, and aligned with business objectives.
This is not a development role - it is focused on analysis, documentation, and data product definition, with strong technical context.
What You'll Do
  • Partner with business stakeholders to gather, clarify, and document data and reporting requirements
  • Analyze existing Coalesce.io pipelines and Snowflake tables to understand current data flows and logic
  • Translate business requirements into clear, structured documentation (e.g., data requirements, transformation logic, mapping specs) for data engineering teams
  • Define and document business metrics, KPIs, and data definitions to ensure consistency across reporting and analytics
  • Work with data engineers to validate that delivered solutions meet documented requirements
  • Support the developers by ensuring requirements are complete, accurate, and well understood
  • Identify gaps, inconsistencies, or data quality issues in existing pipelines and propose improvements
  • Contribute to data governance efforts by maintaining documentation and promoting best practices

What We're Looking For
Required Qualifications
  • 3-5 years of experience in data analytics, analytics engineering, or data engineering roles.
  • Strong SQL skills and experience working with Snowflake or similar cloud data warehouses.
  • Exposure to ELT pipelines and tools such as Coalesce.io, dbt, or comparable frameworks.
  • Experience supporting BI and analytics tools such as Sigma, Power BI, Tableau, or Looker.
  • Solid understanding of data modeling concepts (e.g., star schemas, fact and dimension tables).
  • Ability to work directly with business users and translate requirements into data solutions.
  • Experience with data documentation and data catalogs
  • Exposure to data quality ideologies and data governance practices
  • Experience supporting analytics and reporting use cases

Why Join Us
  • Be part of a modern data organization focused on data as a product.
  • Work with a contemporary analytics stack including Snowflake, Coalesce.io, Sigma, and Power BI.
  • Opportunity to grow your skills across both analytics and data engineering.
  • High visibility role with meaningful impact on how the business uses data.

  • 3-5 years of experience in data analytics, analytics engineering, or data engineering roles.
  • Strong SQL skills and experience working with Snowflake or similar cloud data warehouses.
  • Exposure to ELT pipelines and tools such as Coalesce.io, dbt, or comparable frameworks.
  • Experience supporting BI and analytics tools such as Sigma, Power BI, Tableau, or Looker.
  • Solid understanding of data modeling concepts (e.g., star schemas, fact and dimension tables).
  • Ability to work directly with business users and translate requirements into data solutions.
  • Experience with data documentation and data catalogs
  • Exposure to data quality ideologies and data governance practices
  • Experience supporting analytics and reporting use cases

The expected salary range for this position is $90,000 to $110,000 annually. Actual compensation will be determined based on experience, skills, internal equity, and other factors permitted by law.
To support our commitment to being an employer of choice, we offer comprehensive and competitive health, wellness, and additional benefits to eligible full-time team members. Benefit eligibility may vary based on location, average hours worked, and length of service.
Benefits may include*:
  • Medical, dental, vision, life, and disability insurance for the associate and eligible dependents
  • Flexible Spending Account (FSA)
  • Health Savings Account (HSA)
  • 401(k) retirement savings program
  • Mental health resources and Employee Assistance Program (EAP)
  • Paid vacation time (accrued based on hours worked and tenure)
  • Paid company holidays
  • Employee discount across our family of brands
  • Potential eligibility for annual merit-based compensation increases, where applicable

*Exact benefit terms, conditions, and eligibility requirements are governed by official plan documents and applicable law. The Company reserves the right to modify, amend, or terminate benefit plans and programs at any time.

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