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Hcl Data Engineer Jobs (NOW HIRING)

Kasmo Global

AIML SOFTWARE ENGINEER

Dublin, CA · Remote

HCL Lead the architectural design, development, and deployment of robust, scalable, and high ... data flow and functionality. Solid understanding and experience with API design principles (e.g ...

ABM

Assistant Chief Engineer

Sugar Land, TX

$26.27/hr

... market data. Benefit Information: ABM offers a comprehensive benefits package. For information ... Plumbing - HCL * Electric - MidWest * Lighting - FSG * Fire Systems - FireTron, Union Fire

HCL

Jira Align Architect & Administrator

Manhattan, NY · On-site

At HCL Technologies, in our Agile Delivery Transformation practice, we work as true partners with ... value engineering framework within tool based upon client's requirements. • Define product ...

Saxon Global

Domino Developer

Seattle, WA

... data. SSL certificates will need to be updated once a year, Domino will need that updated, app ... The engineer will own day-to-day operations across a diverse technology stack-including HCL Domino ...

United IT

Lead Business Analyst

San Antonio, TX

... Analyst at HCL will be responsible for overseeing data analysis, business analysis, and Agile ... Work closely with developers and QA teams to ensure successful implementation and testing of ...

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All JobsHcl Data Engineer Jobs

Hcl Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do hcl data engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for hcl 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 Hcl Data Engineer vs Data Analyst?

AspectHcl Data EngineerData Analyst
Required SkillsSQL, Python, ETL, Big Data toolsExcel, SQL, Data Visualization
Work EnvironmentData pipelines, cloud platforms, big data systemsData interpretation, reporting, dashboards
CertificationsHCL certifications, cloud certificationsNone specific, often BI certifications
Industry UsageIT, telecom, finance, healthcareBusiness, marketing, finance, healthcare

Hcl Data Engineers focus on building and maintaining data pipelines and infrastructure, working with big data tools and cloud platforms. Data Analysts interpret data, create reports, and visualize insights. While both roles require SQL and data handling skills, Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What are HCL Data Engineers?

HCL Data Engineers are professionals who specialize in designing, building, and maintaining data processing systems for clients of HCL Technologies. They work with large-scale data platforms, develop ETL pipelines, manage databases, and ensure data is accessible, reliable, and secure. Their role often involves collaborating with data scientists, analysts, and business teams to deliver data-driven solutions that support decision-making and business goals. HCL Data Engineers typically have expertise in programming languages like Python or SQL, and experience with cloud services and big data tools.

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

To thrive as an HCL Data Engineer, you need strong expertise in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with big data tools (such as Hadoop or Spark), cloud platforms (like AWS or Azure), and relevant certifications (such as AWS Certified Data Analytics or Google Professional Data Engineer) is typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills for this role. These skills ensure the ability to design efficient data solutions, collaborate with teams, and deliver actionable insights from complex datasets.

What are some common challenges HCL Data Engineers face when working on large-scale data migration projects?

HCL Data Engineers often encounter challenges such as ensuring data consistency and integrity when transferring large volumes of information between legacy systems and modern platforms. They must also optimize data pipelines for performance while minimizing downtime and disruptions to ongoing business operations. Collaborating closely with cross-functional teams, including business analysts and solution architects, is crucial to accurately map data requirements and troubleshoot issues as they arise. Strong problem-solving skills and adaptability help navigate evolving project scopes and tight deadlines.
Infographic showing various Hcl Data Engineer job openings in the United States as of June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 77% In-person, 14% Hybrid, and 9% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Lead Bus. Analyst with data analysis

Prophecy Technologies

Dallas, TX • On-site

Full-time

Posted 12 days ago

Job description

Job Summary
The Lead Business Analyst at HCL will be responsible for overseeing data analysis, business analysis, and Agile methodology to drive business objectives and improvements. They will play a key role in understanding business needs, analyzing data, and implementing Agile strategies for effective project management. (1.)
Key Responsibilities
1. Conduct data analysis to identify trends, patterns, and insights that can drive business decisions.
2. Collaborate with stakeholders to gather business requirements and translate them into functional specifications.
3. Lead and participate in agile ceremonies such as sprint planning, daily standups, and retrospectives.
4. Create detailed documentation including user stories, process flows, and technical specifications.
5. Work closely with developers and qa teams to ensure successful implementation and testing of solutions.
6. Provide guidance and mentorship to junior business analysts and team members.
7. Continuously improve processes and methodologies to enhance productivity and delivery efficiency.
Skill Requirements
1. Proficient in data analysis techniques and tools such as sql, python, or r.
2. Strong business analysis skills including requirements gathering, process mapping, and solution design.
3. Experience working in agile environments using methodologies like scrum or kanban.
4. Excellent communication and stakeholder management skills.
5. Ability to work collaboratively in cross functional teams to achieve project goals.
6. Analytical mindset with a detail oriented and problem-solving approach.
7. Project management skills to effectively prioritize tasks and meet deadlines.
Certifications: Agile certifications such as Certified Scrum Master (CSM) or PMI Agile Certified Practitioner (PMIACP) are a plus.

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