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Data Engineer Jobs in Hammond, IN (NOW HIRING)

Tredence Analytic

Data Engineer

Chicago, IL

$118K - $141K/yr

Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and ...

Prophecy Technologies

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL (3 days office) Employment: Contract Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and ...

SCI SOLUTIONS GLOBAL

Data Engineer

Chicago, IL · On-site

$35 - $38/hr

Data Engineer - PySpark, Databricks & AWS Redshift Location: Chicago, IL (locals Only) Employment Type: W2 Contract We are seeking an experienced Data Engineer with strong hands-on expertise in ...

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and ...

VeeRteq Solutions Inc.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Role: SR Data Engineer Experience: - Min 8+ Years Location: - Chicago, IL(3 days/Week) OR Remote (F2F Interview Mandatory) Data Engineer with expertise in ETL development, Python, SQL, and cloud ...

New

Premier Inn Hotels LLC (UAE)

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

W2 Contract We are seeking an experienced Data Engineer with strong hands-on expertise in PySpark, Databricks, and AWS Redshift to join our data engineering team. The ideal candidate will have a ...

Humana

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

This position is ideal for an engineer who is passionate about data, eager to learn emerging technologies, and interested in growing their skills in Snowflake, Azure, and modern data engineering ...

New

Dlapiper

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Dlapiper

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Judge Group, Inc.

Data Engineer

Chicago, IL · On-site

$130K - $160K/yr

Key Responsibilities Data Engineering * Pipeline engineering - Build and maintain ETL workflows that scale without cracking under pressure. * Advanced SQL tuning - Write SQL that slices through ...

New

Harrison Street

Data Engineer

Chicago, IL · On-site

$125K - $200K/yr

The Data Engineer will be responsible for the collection, storage, processing, and transformation of large volumes of data to make it accessible, reliable, and usable for analysis and decision-making ...

Guidehouse

Data Engineer

Chicago, IL · On-site

$89K - $148K/yr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have hands ...

Harrison Street

Data Engineer

Chicago, IL

$118K - $141K/yr

The Data Engineer will be responsible for the collection, storage, processing, and transformation of large volumes of data to make it accessible, reliable, and usable for analysis and decision-making ...

Harrison Street

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer will be responsible for the collection, storage, processing, and transformation of large volumes of data to make it accessible, reliable, and usable for analysis and decision-making ...

Harrison Street

Data Engineer

Chicago, IL · On-site

$125K - $200K/yr

The Data Engineer will be responsible for the collection, storage, processing, and transformation of large volumes of data to make it accessible, reliable, and usable for analysis and decision-making ...

Prolaio

Data Engineer

Chicago, IL

$134K/yr

The Overview We are seeking a skilled and motivated Data Engineer to join our Data Engineering team. In this role, you will enhance our data platform, developing and optimizing data pipelines that ...

Prolaio

Data Engineer

Chicago, IL · On-site

$134K/yr

The Overview We are seeking a skilled and motivated Data Engineer to join our Data Engineering team. In this role, you will enhance our data platform, developing and optimizing data pipelines that ...

DevSelect

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer Location: Chicago, Ill Openings: 1 Type: Permanent hire The Client is searching for an experienced data engineer. This person will be responsible for building and managing an array of ...

IMC

Data Engineer

Chicago, IL

$118K - $141K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

NinjaHoldings

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Job Summary We are looking for a Data Engineer to join a team of analytics and machine learning experts. The hire will be responsible for building tooling to support analytics, helping to extend our ...

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All JobsData Engineer JobsData Engineer Jobs in Hammond, IN

Data Engineer information

See Hammond, IN salary details

$42.8K

$124.9K

$170.9K

How much do data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data engineer in Hammond, IN is $124,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,200.00 and $132,400.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Hammond, IN?

The most popular types of Data Engineer jobs in Hammond, IN are:

What job categories do people searching Data Engineer jobs in Hammond, IN look for?

The top searched job categories for Data Engineer jobs in Hammond, IN are:

What cities near Hammond, IN are hiring for Data Engineer jobs?

Cities near Hammond, IN with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Hammond, IN as of August 2026, with employment types broken down into 84% Full Time, 8% Temporary, and 8% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $124,886 per year, or $60 per hour.

Data Engineer

Chicago, IL

Tredence Analytic
See more jobs at Tredence Analyticexternal

$118K - $141K/yr

Full-time

Re-posted 22 days ago

Key responsibilities

  • Design, develop, document, and test advanced data systems that integrate data from multiple sources for use by data scientists, analysts, and other users.

  • Evaluate datasets using statistics, data mining, and predictive analytics to extract business insights.

  • Design, develop, and implement data processing pipelines at scale.

Job description

Company Description

Tredence is a global analytics services and solutions company. Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data.

Job Description

We are searching for an accountable, multitalented Data Engineer to facilitate the operations of our Data Scientists. The ideal candidate will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data, while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.

To ensure success as a Data Engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. A formidable Data Engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills.

Essential Responsibilities

  • Design, develop, document, and test advanced data systems that bring together data from disparate sources, making it available to data scientists, analysts, and other users using scripting and/or programming languages (Python, Java, C, etc)
  • Evaluate structured and unstructured datasets utilizing statistics, data mining, and predictive analytics to gain additional business insights
  • Design, develop, and implement data processing pipelines at scale
  • Present programming documentation and design to team members and convey complex information in a clear and concise manner.
  • Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes.
  • Write and refine code to ensure performance and reliability of data extraction and processing.
  • Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers
  • Participate in requirements gathering sessions with business and technical staff to distill technical requirements from business requests.
  • Partner with clients to fully understand business philosophy and IT Strategy; recommend process improvements to increase efficiency and reliability in ETL development.
  • Collaborate with Quality Assurance resources to debug code and ensure the timely delivery of products.
  • Some of our technologies might include: HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka.
    Qualifications
    • Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
    • At least 3 years of proven experience as a Data Engineer.
    • Expert proficiency in Python, C++, Java, R, and SQL.
    • Familiarity with Hadoop or suitable equivalent.
    • Excellent analytical and problem-solving skills.
    • A knack for independent and group work.
    • Scrupulous approach to duties.
    • Capacity to successfully manage a pipeline of duties with minimal supervision.
    Additional Information

    All your information will be kept confidential according to EEO guidelines.

    Apply