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Data Engineer Data Jobs in Puerto Rico (NOW HIRING)

WORKSIMPLI SOFTWARE LLC

PR · On-site

$45K - $55K/yr

Maintain and enhance data pipelines in collaboration with engineers when needed. * Ensure data integrity, consistency, and security. Required Skills & Experience * 2-3 years of experience in data ...

PharmEng Technology Americas

PR · On-site

... Engineering, and Training to ensure that our clients can keep on providing the world with their ... Data integrity specialists are responsible for ensuring that data is accurate and consistent across ...

FITS LLC

Sr Data Scientist

Juncos, PR · On-site

Enterprise data platforms, data warehousing concepts, data modeling, and data integration solutions ... We integrate Engineering, Construction, Maintenance, Utilities and Specialized Technical services ...

Xtillion

Software Engineer Senior Associate

San Juan, PR

$120K - $158K/yr

You'll operate at the intersection of software engineering, data systems, and applied AI, translating complex business problems into scalable, reliable solutions. This position is ideal for engineers ...

Consertus, Inc.

Jr. Data Analyst

San Juan, PR · On-site

We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery ... A Bachelor's degree in Engineering, Mathematics, Computer Science, Information Management, or ...

Consertus, Inc.

Jr. Data Analyst

San Juan, PR · On-site +1

We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery ... A Bachelor's degree in Engineering, Mathematics, Computer Science, Information Management, or ...

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All JobsData Engineer Data JobsData Engineer Data Jobs in Puerto Rico

Data Engineer Data information

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

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Puerto Rico? For Data Engineer Data jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Puerto Rico look for? The top searched job categories for Data Engineer Data jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Data Engineer Data jobs? Cities in Puerto Rico with the most Data Engineer Data job openings:
Data Engineer Data jobs near you
Data Analyst III

Data Analyst III

Innovative Emergency Management

Guaynabo, PR • On-site

Full-time

Retirement, PTO

Posted 12 days ago

Job description

IEM is looking for a Full Time - Data Analyst III to work within our Puerto Rico Critical Infrastructure team. The Data Analyst III role is responsible for transforming complex data into actionable insights. This position analyzes large data sets, develops predictive models, and produces reports that guide business decisions. The Data Analyst III ensures data integrity, identifies trends within client populations, and collaborates with teams to streamline data processes. Additionally, the role involves defining data requirements, optimizing reporting, and effectively communicating results in a fast-paced, dynamic environment.
Primary Location:
  • Candidate must live a commutable distance to San Juan or Guaynabo, Puerto Rico. with a team.
  • Work in an Office Environment

Travel Requirements:
  • This position may require travel to complete work assignments or attend meetings.

Essential Functions:
  • Work with large data sets.
  • Develop data analysis and forecast models.
  • Extrapolate conclusions from large data sets.
  • Develop, maintain, and optimize data processing scripts and analytical workflows using programming languages such as Python, R, SQL, or similar, as well as low-code platforms including Power Apps, Power BI, and Appian.
  • Design and implement automated data pipelines to extract, transform, and load (ETL) data from multiple sources, leveraging both traditional programming approaches and tools such as Power Platform and Appian integrations.
  • Build reusable code libraries, scripts, and application components to support data validation, transformation, and reporting processes across platforms such as Power BI, Power Apps, and Appian.
  • Integrate data across multiple platforms and systems-including Power Platform (Power BI, Power Apps), Appian, and enterprise databases-to improve accessibility, consistency, and reporting efficiency.
  • Analyze data and generate useful business reports.
  • Maintain databases and conduct routine maintenance as needed to ensure data integrity.
  • Outline the specific data needs for each client and/or business method analysis project (e.g. gather end user business requirements).
  • Communicate with client teams about data changes or requirements.
  • Work with management team to create a prioritized list of needs.
  • Effectively collaborate with IEM's Disaster Response & Recovery management and system development team to understand company needs and devise possible solutions, including the ability to:
  • Identify and recommend efficient streamlined data and reporting processes.
  • Streamline data collection and analysis procedures to ensure fast access to metrics.
  • Optimize joint development efforts through appropriate database use and project design.
  • Communicate results and ideas to key decision makers.
  • Able to work under pressure and in short time frames.
  • Ability to be flexible and adapt quickly to changes during each assignment.

Minimum Qualifications:
  • Experience: Five (5) years or more of experience in data mining, management or analysis consulting.
  • Degree: Bachelor's degree from an accredited institution.
  • Bilingual: English and Spanish.
  • Programming Skills: Demonstrated experience with programming or scripting languages such as Python, R, SQL, or similar, including experience in data manipulation, automation, and reporting.
  • Advanced use of all Microsoft Office applications including Excel, Word, Outlook, Access, and PowerPoint.
  • Intermediate to advanced use of Tableau, Microsoft Project and Visio.

Preferred Qualifications:
  • Experience: Eight (8) years or more of experience in data mining, management or analysis consulting.
  • Advanced Programming Experience: Experience building scalable data solutions, automation tools, dashboards, or integrations using programming languages and modern data platforms.
  • Knowledge of federally funded programs, processes, policy and requirements.
  • Experience in the operations of FEMA Public Assistance program and CDBG-DR.
  • Basic to intermediate use of internet platforms.
  • Consultative skills.

Additional Information:
  • Office Locations: Often, these offices are either owned by the client we work with or by IEM. All candidates are expected to follow any rules and regulations of the office in which they are required to work for that project.

Benefits and more:
  • 10 paid Holidays
  • Vacation Pay
  • Sick Pay
  • 401 (K) plan with matching
  • Company paid STD and LTD

Equal Employment Opportunity. All IEM employment decisions, including recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment, if necessary, are made without regard to an individual's race, color, religion, creed, sex (including sexual orientation, gender identity, and gender expression), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, pregnancy (including childbirth and related medical conditions), marital status, military or veteran status, citizenship or immigration status, or any other characteristic protected under applicable law.
Reasonable Accommodation. IEM is committed to providing reasonable workplace accommodations for individuals with disabilities. If you require assistance or reasonable accommodation during any part of the application or employment process, please email IEMhumanresources@iem.com with specific details about the requested accommodation. All accommodation requests are reviewed case-by-case in compliance with applicable law.

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