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Data Engineer Jobs in Granger, IN (NOW HIRING)

Sales Engineering Seniority Level: Mid-Senior level At Cloudera, we empower people to transform ... With as much data under management as the hyperscalers, we're the preferred data partner for the ...

Data Analyst

South Bend, IN

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The incumbent's reporting is intended to provide insights that may be used to evaluate and support programming, to provide data support for grant applications and related reporting, and to enable ...

Controls Engineer, Data Center Capacity Delivery

New Carlisle, IN ยท On-site

$76K - $98K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... years of data center engineering or operations experience - 5+ years of Microsoft Office including Outlook, Word, and Excel experience - Bachelor's degree in Electrical Engineering, Mechanical ...

New

Data Center Technicians should be willing to work both independently and with a team. Work ... You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ...

Data Center Technicians should be willing to work both independently and with a team. Work ... You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ...

Data Center Technicians should be willing to work both independently and with a team. Work ... You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ...

Showing results 21-40

Data Engineer information

See Granger, IN salary details

$39.9K

$116.3K

$159.2K

How much do data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data engineer in Granger, IN is $116,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $123,300.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.

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

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

What are popular job titles related to Data Engineer jobs in Granger, IN?

For Data Engineer jobs in Granger, IN, the most frequently searched job titles are:

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

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

Infographic showing various Data Engineer job openings in Granger, IN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,309 per year, or $55.9 per hour.

Solutions Engineer - East Coast

Cloudera

Three Rivers, MI โ€ข On-site, Remote

Full-time

PTO

Posted 17 days ago


Job description

Business Area:

Sales Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

As the world generates even more volumes of data, from any device or thing, companies are discovering the need to gain immediate insights from their data by studying recurring trends and patterns over time, and staying competitive by implementing predictive actions for their business that will yield positive outcomes.

Cloudera's CDP Platform enables customers to harness those volumes of increasingly valuable data by securely hosting data lakes and efficiently managing data analytics & computing workloads between public clouds and private cloud solutions in data centers.

As a Cloudera Solutions Engineer, you will drive the technical pre-sales motion in close partnership with Account Executives to win deals and build lasting customer relationships. Working alongside sales teams, you will partner directly with prospective customers to run deep discovery and unpack their business drivers, pain points, and technical goals. You will leverage your solution design skills to demonstrate how the CDP platform solves their challenges, delivering tailored solution designs, impactful demos, and proof-of-concepts that showcase the measurable value of Cloudera's solutions.

As the Solutions Engineer you will:

  • Serve as a trusted technical advisor throughout the pre-sales lifecycle, leading technical discovery, custom solution design, and interactive demos to translate customer pain points into high-value business outcomes.

  • Create and deliver customer-centric solution designs, proposed architectures and business outcomes to all levels - developers, architects, CTO, and CIO

  • Advise customers on use case patterns through discovery and requirements workshops

  • Work with teammates and management to define technical selling strategy

  • Work with cross-functional teams including Sales, Marketing, Product Management, Services, Support, Training, and Engineering to share Cloudera's Vision with customers

  • Transform customer feedback into actionable product roadmap items

  • Champion and drive adoption of key open-source data ecosystems, including Spark, Iceberg, Open Data Lakehouse architectures, AI, and streaming platforms (NiFi, Kafka, Flink).

  • Participate within the Cloudera community, share evangelism activities (blogs, meetups, industry events), and contribute to internal and external knowledge repositories

We're excited about you if you have: (Minimum Qualifications):

  • 5+ years of professional work experience in a pre-sales customer facing role (Solutions Engineer, Sales Engineer, technical consultant, Solutions Architecture or similar position) acting as a co-seller selling solutions to business leaders and technical champions in the enterprise.

  • Demonstrated experience conducting technical discovery, whiteboarding proposed solutions, running demos, and building technical proof of concepts to drive clear business outcomes.

  • You have experience with public cloud infrastructures (AWS, Azure, GCP, IBM Cloud, etc.) You have an interest in achieving your public cloud certification.

  • You have experience with the Apache Hadoop ecosystem (HDFS, YARN) and related components (Spark, Hive, Impala, Kudu, Solr, etc.) and can talk to the benefits of a centralized architecture for both data management and data access

  • You have some experience of the formation of Data Lakes, principles of Data Warehousing, SQL and relational database patterns, and application integration

  • You may have experience with Data Flow, Queues and Stream Processing (Nifi, Kafka, Flink, Spark) in enterprise applications

  • You have some basic software development experience in Java, Scala or Python

  • You have some knowledge of differentiators across the competitive landscape

  • You have an interest in Data Science and understand the difference between Data Engineering and Applied Science

  • You have demonstrated problem solving and analytical skills.

  • You care about your colleagues, and you will get the job done together. You are passionate about what you do and inspire people around you

  • Bachelor's Degree or equivalent experience in a Technical Field

You may also have: (Preferred Qualifications):

  • You have experience with the Linux OS and bare metal, VM, and distributed container platforms Kubernetes or OpenShift. You may have some experience with specific private cloud infrastructures (Server Hardware, Storage, Networking).

  • You understand the challenges in operations and integration of enterprise platforms for Security and Data Governance in the enterprise

  • Enterprise Data Warehouse (EDW) experience - Teradata, Netezza, GreenPlum, Exadata.

  • NoSQL or Operational-DB experience (HBase, Phoenix, Accumlo, Druid, Cassandra, MongoDB, etc.) Maybe you can even debate one option over another?

  • Integration Products experience (Talend, DataStage, Informatica BDM, Qlik, Tableau, Zoomdata, Tibco, MuleSoft, IBM, Oracle, Spring Integration, etc.)

  • Data Science and ML experience - (R, Python, Anaconda, Jupyter, Deep Learning Frameworks etc.)

  • Experience with, and interest in, open-source software and development practices

The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you apply! An adventure in data awaits.

This role is not eligible for immigration sponsorship.

The anticipated annual base salary range for this position is:

Massachusetts: $150,000 - $180,000

New York: $150,000 - $180,000

Connecticut: $150,000 - $180,000

Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

EEO/VEVRAA

#LI-Remote

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