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Full Time Data Solutions Engineer Jobs in Texas (NOW HIRING)

Data Solutions - Data Engineer Description - Job Summary The Data Solutions - Data Engineer is ... Job - Data & Information Technology Schedule - Full time Shift - No shift premium (United States of ...

Solutions Engineer

Richardson, TX · On-site

$85K - $100K/yr

Department Overview The Solutions Engineering/Sales Engineering team partners with the Sales teams ... Foundational understanding of cybersecurity and data privacy best practices. Location & Travel ...

... full-time, even million-dollar businesses. Hosts use our platform to run their business -- from ... Handle data migrations and data correctness : import/export, mapping, deduping, validation ...

Exempt Position Status: Full-Time Work Status : Hybrid SOLUTIONS ENGINEER Hanwha Qcells USA Corp ... Support ETL (Extract, Transform, Load) workflows for data exchange between systems. * Collaborate ...

New

Exempt Position Status: Full -Time Work Status : Hybrid SOLUTIONS ENGINEER Hanwha Qcells USA Corp ( ... Support ETL (Extract, Transform, Load) workflows for data exchange between systems. * Collaborate ...

Real-Time Data Processing: Familiarity with Apache Kafka, AWS Kinesis, or Google Pub/Sub is ... engineering #full-time #associate #LI-KD1 Please note this is not designed to cover or contain a ...

New

The Solutions Engineer will be responsible for delivering technical solutions, integrating the Oden ... data integration requirements, and technical constraints • Design technical solutions that ...

Industries served include oil and gas, water/wastewater treatment, building automation, data ... Solution Engineers are strategically positioned to drive innovation, organizational agility, and ...

Department Overview The Solutions Engineering/Sales Engineering team partners with the Sales teams ... Foundational understanding of cybersecurity and data privacy best practices. Location & Travel ...

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Full Time Data Solutions Engineer information

What is the difference between Full Time Data Solutions Engineer vs Data Analyst?

AspectFull Time Data Solutions EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data engineering toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentDesigning, building, and maintaining data infrastructure; collaborating with engineering teamsInterpreting data, creating reports, and providing insights to business teams
Employer & Industry UsageTech companies, data-driven organizations, consulting firmsMarketing agencies, finance firms, healthcare organizations

Full Time Data Solutions Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to generate insights. Both roles require strong analytical skills but differ in technical scope and responsibilities.

What are the most commonly searched types of Data Solutions Engineer jobs in Texas? The most popular types of Data Solutions Engineer jobs in Texas are:
What cities in Texas are hiring for Full Time Data Solutions Engineer jobs? Cities in Texas with the most Full Time Data Solutions Engineer job openings:
Infographic showing various Full Time Data Solutions Engineer job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Data Solutions Engineer, Assistant Vice President

Citigroup, Inc.

Irving, TX • On-site

$107K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 170 rated banks


Job description

This Data Solutions Engineer (Applications Development Senior Programmer Analyst - C12) is responsible for building next-generation Data Engineering solutions. This intermediate-level position involves active participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. A key aspect of this role is liaising between business users and technologists to facilitate the exchange of information regarding solutions, including requirements and usage.
Responsibilities:
  • Serve as an integral team member of our Data Engineering team, responsible for the design and development of Big Data solutions.
  • Partner with domain experts, product managers, analysts, and data scientists to develop robust Big Data pipelines in Hadoop or Snowflake environments.
  • Responsible for delivering a data-as-a-service framework.
  • Responsible for moving all legacy workloads to cloud platform.
  • Lead the migration of all legacy workloads to cloud platforms.
  • Engage with key stakeholders to elicit and document requirements, including detailed data flow specifications.
  • Assess appropriate solutions and collaborate with relevant teams to drive optimal implementations.
  • Work with data scientists to build client pipelines using heterogeneous sources and provide essential engineering services for data science applications.
  • Research and evaluate open-source technologies and components, recommending and integrating them into design and implementation efforts.
  • Act as a technical expert, mentoring other team members on Big Data and Cloud technology stacks.
  • Define comprehensive requirements for maintainability, testability, performance, security, quality, and usability across the data platform.
  • Drive the implementation of consistent patterns, reusable components, and coding standards for all data engineering processes.
  • Convert SAS-based pipelines into modern languages like PySpark and Scala for execution on Hadoop and non-Hadoop ecosystems.
  • Optimize Big Data applications on both Hadoop and non-Hadoop platforms for peak performance.
  • Evaluate new IT developments and evolving business requirements, recommending appropriate system alternatives and/or enhancements to current systems through analysis of business processes, systems, and industry standards.
  • Appropriately assess risk when making business decisions, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets. This includes driving compliance with applicable laws, rules, and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct, and business practices, and escalating, managing, and reporting control issues with transparency.

Required Qualifications:
  • 5+ years of experience with Hadoop and Big Data technologies
  • Demonstrated proficiency in Python, PySpark, and Scala, including practical experience with fundamental machine learning libraries
  • Experience in developing robust data solutions leveraging Google Cloud or AWS platforms; relevant certifications are preferred
  • Experience with SAS
  • Experience with containerization and related technologies (e.g., Docker, Kubernetes)
  • Comprehensive understanding of software engineering and data analytics
  • In-depth knowledge and hands-on experience with the Hadoop ecosystem and Big Data technologies (e.g., HDFS, MapReduce, Hive, Pig, Impala, Kafka, Kudu, Solr)
  • Knowledge of Agile (Scrum) development methodologies.
  • Strong development and automation skills.
  • System-level understanding of data structures, algorithms, distributed storage, and compute.
  • A proactive approach to solving complex business problems, complemented by strong interpersonal and teamwork skills.

Desired Qualifications
  • Familiarity with Hadoop administration and Snowflake.
  • Proficiency in Java or additional experience with Apache Beam.

Education:
  • Bachelor's degree/University degree or equivalent experience

Applicants must be authorized to work in the U.S for this position; Citi will not sponsor applicants for U.S. work authorization for this role. Candidate must be located within commuting distance or be willing to relocate to the area.
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Irving Texas United States
Primary Location Full Time Salary Range:
$107,120.00 - $160,680.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Jul 27, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US