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Remote Data Engineer Jobs in Hammond, IN (NOW HIRING)

Resultant

Data Engineer - Databricks

Chicago, IL · On-site +1

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries - from public sector agencies to ...

Above Lending

Senior Data Engineer

Chicago, IL · On-site +1

$110K - $150K/yr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ...

Above Lending

Senior Data Engineer

Chicago, IL · On-site +1

$110K - $150K/yr

We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems ... We are not hiring remote candidates at this time. What You'll Do * Build and own end-to-end data ...

Kemper

Data Quality Engineer

Chicago, IL · Remote

$118K - $141K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

Daniel J Edelman Holdings, Inc.

Data Scientist

Chicago, IL · On-site +1

$139K - $144K/yr

Bachelor's degree in Data Science, Computer Science, Data Engineering, Marketing Analytics, or ... in-office/remote policy in our Chicago, IL office (111 N Canal St, Chicago, IL 60606)is required.

Resource Innovations

Energy Engineer

Chicago, IL · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Resource Innovations

Energy Engineer

Chicago, IL · Remote

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

VeeRteq Solutions Inc.

Data Modeler

Chicago, IL · Remote

$56 - $72.75/hr

Remote (Prefer PST, 2nd Preference CST) USA Experience: Minimum 10+ years As a Senior Data Modeler ... Collaborate with ETL and Data Engineering teams on data ingestion, orchestration, and ...

ZipRecruiter

Engineering Manager, Big Data

Chicago, IL · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

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Showing results 21-40

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Hammond, IN

Remote Data Engineer information

See Hammond, IN salary details

$42.8K

$124.9K

$170.9K

How much do remote data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote 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 remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

More about Remote 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 are popular job titles related to Remote Data Engineer jobs in Hammond, IN?

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Hammond, IN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $124,886 per year, or $60 per hour.

Data Engineer - Databricks

Resultant

Chicago, IL • On-site, Remote

$118K - $141K/yr

Full-time

Posted 7 days ago

Job description

Company Description
Resultant is a modern consulting firm with a radically different approach to solving problems.
We don't solve problems for our clients. We solve problems with them.
Through outcomes driven by data analytics, technology solutions, digital transformation, and beyond, our team works with clients in both the public and private sectors to solve their most complex challenges. We start by learning as much as we can about who they are, how they work, and what they're striving for so we can feel their problems as our own. Partnering with our clients means their desired outcomes are always top of mind, their challenges and strengths guiding our efforts. We build client-focused relationships before we build unique solutions that blaze past expectations.
Originally founded in Indianapolis in 2008, Resultant now employs more than 400 team members who operate from offices around the United States including Indianapolis and Fort Wayne, Indiana; Columbus, Ohio; Lansing, Michigan; Denver, Colorado; Dallas, Texas and Atlanta, Georgia.
We're Resultant. Clients partner with us to see a difference. People join us to make one.
Job Description
We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries - from public sector agencies to healthcare, financial services, and manufacturing. You'll work hands-on with the Databricks Data Intelligence Platform to turn messy, disconnected client data into governed, trustworthy, analytics- and AI-ready assets.
This is a client-facing consulting role. You'll partner with solution architects, data scientists, and project leads to gather requirements, design pipelines, and deliver production-grade solutions - then explain what you built and why it matters in language business stakeholders actually understand.
What You'll Do
  • Design, build, and optimize scalable ETL/ELT pipelines on Databricks using PySpark, Spark SQL, and Delta Lake
  • Implement Medallion (Bronze/Silver/Gold) architecture patterns, applying data quality checks, schema evolution, and enforcement along the way
  • Build declarative pipelines with Delta Live Tables (DLT) and ingest streaming/incremental data using Auto Loader and Structured Streaming
  • Orchestrate and monitor production workloads using Databricks Workflows, integrating with tools like Airflow or Azure Data Factory where needed
  • Configure and maintain Unity Catalog for data governance - catalogs, schemas, access controls, lineage, and PII masking
  • Partner with data scientists to prepare feature-engineered, ML-ready datasets and support model deployment workflows using MLflow
  • Tune cluster configuration, job design, and Photon/serverless compute for performance and cost efficiency
  • Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and asset bundles (Git-based workflows, Azure DevOps, GitHub Actions, or similar)
  • Query, profile, and assess the quality of large, complex datasets from a wide variety of source systems
  • Collaborate with solution leads, architects, and project managers on solution design and technical architecture decisions
  • Participate directly in client-facing work: requirements gathering, solution reviews, and translating technical tradeoffs into plain-language business impact
  • Document solutions clearly - architecture diagrams, data flow documentation, code comments, and runbooks

Qualifications
Required
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience)
  • 2+ years of hands-on data engineering experience, including production work on the Databricks platform
  • Strong hands-on experience with PySpark and Spark SQL
  • Practical experience with Delta Lake fundamentals - ACID transactions, OPTIMIZE/Z-ORDER, partitioning, and schema evolution
  • Solid SQL skills across relational platforms (SQL Server, Postgres, Oracle, Snowflake, etc.)
  • Experience with at least one major cloud platform (Azure, AWS, or GCP) and its data services
  • Working knowledge of data modeling (dimensional modeling, 3NF) and ETL/ELT design principles
  • Strong communication skills and comfort working directly with clients and non-technical stakeholders
  • A collaborative, detail-oriented mindset with a bias toward solution quality and follow-through

Preferred / Nice-to-Have
  • Databricks Certified Data Engineer Associate or Professional
  • Experience with Unity Catalog, Delta Live Tables, and Auto Loader in production environments
  • Exposure to MLflow, Feature Store, or Databricks Vector Search for AI/ML-enabled use cases
  • Experience with Databricks Asset Bundles and CI/CD tooling (GitHub Actions, Azure DevOps, GitLab)
  • Familiarity with Terraform or other infrastructure-as-code tooling
  • Experience with dbt, Kafka/Event Hubs, or BI tools (Power BI, Tableau) connected to Databricks
  • Docker/Kubernetes experience for containerized workloads
  • Prior consulting experience, or comfort moving across multiple client engagements and industries

Additional Information
What It's Like to Work Here
At Resultant, we are driven by purpose-partnering with clients to take on their toughest challenges and creating outcomes that make a real difference. Success here means lasting impact, not just delivered projects. We work as collaborative experts, leaning into complexity with confidence and humility, asking smart questions, sharing ideas freely, and combining our diverse expertise to turn challenges into clear, transformative solutions. We make our outcomes visible by sharing results, stories, and lessons learned, because growth happens through shared experience.
Accountability & Ownership
Resultant offers a flexible, high-trust environment, paired with a shared commitment to accountability:
  • Take ownership of your work from start to finish and deliver on your commitments to clients and coworkers
  • Communicate proactively, especially when priorities shift
  • Focus on outcomes, follow-through, and measurable impact
  • Show up where it matters, in person or virtually, when it strengthens relationships or results
  • Do the small things brilliantly: respond timely, stay organized, and follow through to build trust

We trust each other to own our work and deliver exceptional results. Flexibility means autonomy paired with accountability: the freedom to work in ways that fit your life, balanced with the reliability our clients and coworkers count on.
Is Resultant the right spot for you?
You may thrive here if you bring curiosity and a consulting mindset to every challenge, take ownership of your growth, and give and receive feedback with intention. If you're energized by bold ideas, continuous learning, and investing in the people around you, this is your place. At Resultant, we show up for each other, own our outcomes, and build leaders who create lasting impact for our clients, our communities, and each other.
Equal Opportunity Employer
We embrace AI across everything we do, and that includes how you prepare for this interview. Feel free to use AI tools to research the role, practice your responses, and put your best foot forward. What matters to us is getting to know the real you - how you think, how you communicate, and what you genuinely bring to the table. Our interviews are designed to go deeper than any polished answer, so come curious and come as yourself without the support of an AI tool during our conversation.

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