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It Data Engineer Jobs (NOW HIRING)

Data Analyst (IT) Location: Quincy MA Duration: 6+ Months Contract Only MA Local candidates ... Power BI Data Analyst Associate (PL-300), Analytics Engineer Associate (DP-600), Fabric Data ...

Requisition Number: 223352 The IT Data Engineer Lead is responsible for: working and guiding on data engineering pipelines, data modelling, analytics and leading complex issues. Specifically, data ...

Our synergetic Ethos IT Team is growing and seeking a full-time Data Architect (REMOTE) to lead the ... Cross-Functional Collaboration - Partner with engineering, analytics, and business teams.

Job Title: IT Data Visualization Architect Location: Indianapolis, IN Duration: 12+ Months Description: The IT Data Visualization Architect will craft visualizations and dashboards relevant to agency ...

IT Data Architect

Needham, MA · On-site

$116K - $163K/yr

Work closely with Data engineers, Application teams, Analytics team, Security & Risk, Compliance ... information, or gender identity.

Work closely with Data engineers, Application teams, Analytics team, Security & Risk, Compliance & Audit * Translate high-level strategy into implementable roadmaps. * Review designs, data models ...

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Bachelor's degree in Computer Science, Information Technology, Data Engineering or related field * Proven QA experience across integrated software and data platforms * Experience validating front-end ...

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It Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do it data engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for it data 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.

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

AspectIt Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or Google CloudBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentBuilds data pipelines, manages databases, works with cloud platformsAnalyzes data, creates reports, visualizations, and insights
Employer & Industry UsageTech companies, finance, healthcare, any data-driven industryMarketing, finance, retail, and other sectors requiring data insights

While both roles work with data, It Data Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. They often collaborate but have distinct skill sets and responsibilities.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, specialized expertise, or working in high-demand industries such as finance or technology firms.

What are some common challenges IT Data Engineers face when integrating data from multiple sources?

IT Data Engineers often encounter challenges such as data inconsistency, varying data formats, and differing data quality standards when integrating information from multiple sources. Addressing these issues requires strong data cleansing skills and experience with ETL (Extract, Transform, Load) tools to harmonize datasets. Collaboration with business analysts and source system owners is crucial to understand data context and resolve integration conflicts efficiently. Successfully managing these challenges ensures reliable, high-quality data pipelines for downstream analytics.

Which IT job is the highest paid?

In the IT field, roles such as Chief Information Officer (CIO), Solutions Architect, and Data Scientist tend to be among the highest paid, often earning six-figure salaries or more. Specialized skills in cloud computing, cybersecurity, and AI can also command top compensation levels for experienced professionals.

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

To thrive as an IT Data Engineer, you need expertise in data modeling, database management, ETL processes, and proficiency in languages such as SQL, Python, or Scala, usually supported by a degree in computer science or a related field. Familiarity with big data tools like Hadoop, Spark, and cloud platforms (AWS, Azure, Google Cloud), as well as relevant certifications, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills help data engineers collaborate with teams and ensure data integrity. These skills are essential for designing scalable data solutions, maintaining data quality, and supporting organizational decision-making.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles and often include opportunities for bonuses and certifications.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the role entirely. Data engineers are still essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and cloud platforms remain in high demand.

What are IT Data Engineers?

IT Data Engineers are professionals who design, build, and maintain systems and infrastructure that collect, store, and process large volumes of data. They work with databases, data warehouses, and data pipelines to ensure data is reliable, accessible, and ready for analysis by data scientists and analysts. Their responsibilities include optimizing data workflows, integrating data from multiple sources, and ensuring data security and quality. IT Data Engineers often use programming languages such as Python, SQL, or Java and tools like Hadoop, Spark, and cloud platforms.
More about It Data Engineer jobs
Infographic showing various It Data Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 67% Full Time, 24% Part Time, 1% Temporary, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Operational Technology Data Engineer

Operational Technology Data Engineer

Perdue Farms

Salisbury, MD

$89K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Perdue Farms rating

6.3

Company rating: 6.3 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

262nd of 383 rated food and drinks producers


Job description

Perdue AgriBusiness is an international agricultural products and services company that handles agricultural commodities and a diverse portfolio of products and businesses. It is part of Perdue Farms, a fourth-generation, family-owned food and agricultural business deeply rooted in tradition yet with a forward-thinking mindset. We believe that success starts with our people, and our culture is built on a foundation of teamwork, integrity, and respect, where every voice matters and everyone is encouraged to contribute to our shared goals.

We are dedicated to creating a supportive, inclusive environment where associates feel valued and inspired to make an impact, both within the company and in the communities we serve. From promoting growth and development to prioritizing work-life balance, we?re committed to helping our team members thrive. That's Perdue.SummaryBuild the digital backbone of our operations as an Operational Technology Data Engineer.

In this role, you will modernize how industrial data is captured, secured, and transformed into actionable insights by supporting site and enterprise historian platforms and building scalable pipelines that move data from the plant floor to the cloud. You will partner with enterprise architects and cross functional teams to convert complex OT data into trusted, governed datasets that power analytics and drive smarter decisions across the business. This opportunity is ideal for a forward-thinking engineer who is passionate about bridging OT and IT, strengthening data foundations, and enabling the next generation of operational performance.The salary range for this position is$89,000 - $133,000per year, based on experience and qualificationswith annual bonusavailable(variable dependingon performance).In addition to the base salary, Perdue offers a competitive benefits package, including medical/Rx, 401(k) with employer match after 1 year, critical illness, accident insurance, dental, vision, life insurance, optional group life insurance, short-term and long-term disability protection, flexible spending accounts and paid time off.Principal Essential Duties & ResponsibilitiesAdminister, maintain, and optimize OT data historian systems (e.g., AVEVA PI, FactoryTalk Historian, Canary, Ignition).Ensure high quality, continuous capture of time series data from PLCs, SCADA, sensors, and edge systems.Troubleshoot data flow issues and improve ingestion patterns such as compression, buffering, and contextualization.Design and implement secure, scalable OT data pipelines following OT IT segmentation standards.Develop cloud ingestion workflows using historian replication tools, edge gateways, IoT messaging systems, or custom pipelines.Ensure reliable, governed, one way movement of OT data to cloud environments.Partner with Enterprise Architecture and BI teams to define OT data models, metadata standards, and governance requirements.Transform raw OT datasets into curated, production ready assets for analytics, reporting, and machine learning.Implement repeatable data onboarding frameworks to support multi-site expansion.Apply enterprise naming conventions, metadata standards, and data validation rules.Monitor pipeline health, latency, schema changes, and historian system integrity.Follow cybersecurity standards for OT ensuring read only access, one-way pathways, and adherence to network segmentation policies.Work closely with business leadership, operations, engineering, maintenance, controls, IT infrastructure, and enterprise data teams.Participate in design reviews, architecture discussions, and continuous improvement initiatives.Translate plant floor needs into scalable enterprise data solutions.Minimum Education and ExperienceBachelor?s Degree in Engineering, Computer Science, IT, Data Engineering, or related field or equivalent experience.4+ years of experience with OT systems, industrial data, or data engineering.Hands-on experience with data historian platforms (e.g., AVEVA PI, FT Historian, Canary, Ignition).Proficiency in data pipeline tools such as SQL, Python, REST APIs, or cloud ingestion frameworks.Familiarity with industrial protocols (EtherNet/IP, Modbus, OPC UA) and SCADA/PLC environments.Understanding of cloud data platforms (Azure, AWS, Snowflake, or Databricks) and time-series data modeling.Knowledge of OT cybersecurity concepts, segmentation, and iDMZ architectures.Knowledge of ISA 95, IEC 62443, or OT risk management frameworks.Preferred Education and ExperienceExperience building or supporting enterprise OT to cloud data architectures.Exposure to enterprise data lakes, data governance frameworks, and metadata/catalog platforms.Experience with OPC UA, MQTT, and modern IIoT platforms for secure, scalable industrial data integration.Hands-on experience developing Power BI dashboards or working with analytics teams to transform OT data into actionable visualizations.Environmental Factors and Physical RequirementsPosition is mostly sedentary but may require occasional moving to other offices or buildings.May need to move light equipment or supplies from one place to another.May need to access files, supplies and equipment.Work activity is in an office, open-partitioned, cubiclePerdue Farms Inc.

is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.


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