2

Data Engineer Entry Level Jobs in Lafayette, IN (NOW HIRING)

Mechanical Engineer

Lafayette, IN · On-site

$65K - $80K/yr

We are seeking an entry-level to experienced candidate to become an integral part of our ... Investigate, gather and analyze data and implement solutions. * Ability to inspect and accept ...

We are seeking an Entry-Level to Experienced candidate to become an integral part of our ... Help root cause analysis and provide fact & data-based information to concerned parties for problem ...

Field Surveyor

Lafayette, IN · On-site

$48K - $57K/yr

... the engineering of civil site developments. Our mission is to unite communities by creating ... This is an entry-level to early-career role designed for someone eager to build practical field ...

Field Surveyor

Lafayette, IN · On-site

$48K - $57K/yr

... the engineering of civil site developments. Our mission is to unite communities by creating ... This is an entry-level to early-career role designed for someone eager to build practical field ...

Data Engineer Entry Level information

See Lafayette, IN salary details

$42.8K

$124.8K

$170.8K

How much do data engineer entry level jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data engineer entry level in Lafayette, IN is $124,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,200.00 and $132,300.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an Entry Level Data Engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What does a Data Engineer Entry Level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Lafayette, IN? The most popular types of Data Engineer jobs in Lafayette, IN are:
What job categories do people searching Data Engineer Entry Level jobs in Lafayette, IN look for? The top searched job categories for Data Engineer Entry Level jobs in Lafayette, IN are:
What cities near Lafayette, IN are hiring for Data Engineer Entry Level jobs? Cities near Lafayette, IN with the most Data Engineer Entry Level job openings:
Infographic showing various Data Engineer Entry Level job openings in Lafayette, IN as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,805 per year, or $60 per hour.

Junior Machine Learning Engineer-remote

SynergisticIT

Lafayette, IN • On-site

Other

Posted 6 days ago


Job description

Your Degree Was Only the Beginning — Now It’s Time to Get Hired - Get Hired with a Process which Works ! A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. SynergisticIT helps you bridge that gap. You’ll build industry‑level projects, sharpen your interview skills, and gain hands‑on experience in the technologies companies are hiring for right now. The program also markets your profile directly to Fortune 500 clients ,giving you visibility beyond what a degree alone can provide. If you want to turn your education into a real job offer, Synergisticit is the next step you need. If you’re getting interviews but not offers, you’re closer than you think—yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: “almost hired” over and over again, while the confidence drops. The truth is that interviewing is its own skill, and Colleges don’t teach it. They teach how to code—but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer. Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers. The best way to understand this: you can be smart and still fail interviews if you don’t know what the interview is truly measuring. Interviews rarely test “can you write code at home.” They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for. If your pattern is “I reach interviews but don’t clear them,” you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You don’t need to be perfect—you need to show you can think, collaborate, and deliver. That’s why guided mock interviews and structured interview coaching can be a game-changer. Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in “screen round limbo” Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven’t interviewed in years and feel rusty Career changers who fear “I’m behind CS grads” (often untrue with support) If you’re tired of failing interviews and want a structured plan to convert interviews into offers, start here: please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Because getting hired isn’t about trying harder—it’s about preparing smarter, practicing correctly, and having the right guidance. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.