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Data Analytics Engineer Jobs (NOW HIRING)

Hudson Manpower

Senior Data Analytics Engineer

Chicago, IL · On-site

$40 - $50/hr

Job Summary We are seeking a Senior Data Analytics Engineer to design, build, and optimize analytics solutions that support business intelligence, reporting, and decision-making. The ideal candidate ...

CGI Inc.

Data & Analytics Engineer

Nashville, TN · On-site

$110K - $132K/yr

Data & Analytics Engineer Category: Analytics and Emerging Digital Technologies Main location: United States, Tennessee, Nashville Position ID:J0426-0320 Employment Type: Full Time Position ...

Zayo

Data Analytics Engineer

Denver, CO · Remote

$77K - $118K/yr

We're looking for an Analytics Engineer to join our Network Data Solutions team. In this role, you will combine deep telecom data expertise with technical acumen and problem-solving skills to design ...

True Classic

Data & Analytics Engineer

Los Angeles, CA

$123K - $148K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

The Timberline Group

Data Analytics Engineer

Saint Louis, MO

$111K - $133K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house ...

Gigatec Engineering

Data Analytics Engineer

Annapolis, MD · On-site

$113K - $136K/yr

... Engineering role, you'll get to build the workflow engines behind the curtain, designing reliable Apache Airflow pipelines that keep data moving cleanly, efficiently, and on schedule for analytics ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

The Timberline Group

Data Analytics Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house ...

Venturesoft

Data Analytics Engineer

Pleasanton, CA · On-site

$126K - $151K/yr

In this role as Data Analytics Engineer, In this role, you will build and maintain data pipelines, tools, and visualizations to enable organizational insights. You'll develop KPI reports, partner ...

Georgia IT

Data Analytics Engineer

Alpharetta, GA · Hybrid

Data Analytics Engineer - Techno functional Role Location : NY/Alpharetta (Hybrid 3 days onsite) F2F interview required Duration: Contract Rate : DOE Key Responsibilities * Collaborate with business ...

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Role Summary AmaWaterways is hiring a Data Analytics Engineer to own the analytics layer of our modern data platform. You will design governed data marts, build the semantic layer that powers our ...

GDIT

Data Analytics Engineer

Chantilly, VA · On-site +1

$142K - $169K/yr

Yes As a Data Analytics Engineer, you will: * Evolve Extract, Transform, Load (ETL) pipelines of structured and unstructured data from a verity of disparate sources to meet the needs of an advanced ...

PTMA Financial Solutions

Data Analytics Engineer

Denver, CO · On-site

$117K - $141K/yr

The Data Analytics Engineer is responsible for delivering business-facing analytics in a regulated financial services environment, focusing on enterprise KPIs, reporting, and collaboration with ...

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Data Analytics Engineer information

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$44.5K

$129.7K

$177.5K

How much do data analytics engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data analytics 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.

How do Data Analytics Engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a Data Analytics Engineer do?

A Data Analytics Engineer designs, builds, and maintains the systems and infrastructure needed to collect, store, and analyze large sets of data. They work closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and organized for analysis. Their responsibilities typically include building data pipelines, optimizing database performance, and ensuring data quality and security. Data Analytics Engineers play a crucial role in transforming raw data into actionable insights that drive business decisions.
More about Data Analytics Engineer jobs
What cities are hiring for Data Analytics Engineer jobs? Cities with the most Data Analytics Engineer job openings:
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Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, 2% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Data Analytics Engineer

Hudson Manpower

Chicago, IL • On-site

$40 - $50/hr

Contractor

Posted 5 days ago

Job description

Job Summary
We are seeking a Senior Data Analytics Engineer to design, build, and optimize analytics solutions that support business intelligence, reporting, and decision-making. The ideal candidate will have strong expertise in SQL, Python, data modeling, BI tools, and modern analytics engineering practices.
Responsibilities
  • Design and maintain analytics solutions across raw and semantic data layers.
  • Partner with business stakeholders to translate business requirements into data models, dashboards, and actionable insights.
  • Build and optimize SQL and Python-based data pipelines for analytics platforms.
  • Establish and promote analytics standards, governance, and best practices.
  • Enable self-service analytics using BI and data preparation tools.
  • Document, test, validate, and monitor data quality to ensure trust in reporting.
  • Collaborate with analysts and support ad-hoc analytical initiatives.
  • Contribute to cloud-based analytics and data engineering solutions.
  • Support analytics related to financial risk, trading, and operational reporting where applicable.

Required Qualifications
  • Bachelor's or Master's degree in a quantitative field or equivalent experience.
  • 3+ years of experience in Data Analytics, Analytics Engineering, BI, Data Engineering, Risk Analytics, or Software Development.
  • Strong SQL skills with experience writing complex analytical queries.
  • Proficiency in Python for data processing and pipeline development.
  • Experience with Tableau and Alteryx or comparable BI/Data Preparation tools.
  • Experience with Git, code versioning, pull requests, and modern development workflows.
  • Exposure to dbt and workflow orchestration tools such as Airflow, Dagster, or Prefect.
  • Experience with cloud platforms such as AWS, Azure, Databricks, or Snowflake.
  • Strong understanding of data modeling concepts including 3NF and Star Schema.
  • Knowledge of statistics and analytical methodologies.
  • Strong communication and stakeholder management skills.

Preferred Qualifications
  • Experience in Financial Services, Trading, Clearing, Risk Management, or Capital Markets.
  • Experience supporting enterprise-scale analytics environments.

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