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Data Bi Engineer Jobs in New Mexico (NOW HIRING)

RESPEC is hiring a BI Developer to support a public sector partner by administering, developing ... You'll work across data marts, dashboards, and reports-validating data quality, implementing ...

Sr Data Analytics Engineer

Apodaca, NM · On-site

$113K - $136K/yr

Senior Data Analytics Engineer Are you looking for an opportunity to combine data engineering and ... Experience with BI tools such as Power BI, Tableau, or similar platforms * Familiarity with cloud ...

Controls Engineer

Albuquerque, NM · On-site

$80K - $104K/yr

Various 3rd party web-based data integrations for monitoring and troubleshooting aid * Develop work ... SQL, .NET, Power BI, Grafana, and APIs * In-depth understanding of PLC hardware/software platforms ...

Civil Engineer-In-Training

Rio Rancho, NM · Hybrid

$59K - $69K/yr

This is a fulltime position paid biweekly on a salary basis. Life at Parkhill At Parkhill, Building ... Compile, analyze, and interpret engineering and environmental data. * Utilize AutoCAD Civil 3D ...

Ensure data security for information in transit and at rest. * Administer user and group access ... Experience with SQL, ETL processes, and reporting tools such as Cognos, BIRT, or Power BI.

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Data Bi Engineer information

What is a Data BI engineer?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

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

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

How does a Data BI engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What are the key skills and qualifications needed to thrive as a Data BI engineer?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.
What are popular job titles related to Data Bi Engineer jobs in New Mexico? For Data Bi Engineer jobs in New Mexico, the most frequently searched job titles are:
What cities in New Mexico are hiring for Data Bi Engineer jobs? Cities in New Mexico with the most Data Bi Engineer job openings:

BI Developer (Contractor)

RE/SPEC Inc.

Albuquerque, NM • On-site, Remote

Contractor

Re-posted 29 days ago


Job description

Company Description
Big challenges need bold thinkers.
If you're someone who sees problems as opportunities, you'll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we've tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability.
At RESPEC, you'll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems.
We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you'll fit right in.
We do not accept unsolicited resumes from third-party recruiters.
Job Description
RESPEC is hiring a BI Developer to support a public sector partner by administering, developing, and maintaining reporting and analytics solutions. This role is hands-on and highly technical, with a strong focus on Google Looker (LookML) and SQL Server. You'll work across data marts, dashboards, and reports-validating data quality, implementing business rules, and training both technical and non-technical users.
This is a great fit for someone who can move between business needs and technical execution, enjoys troubleshooting, and can work independently while collaborating closely with SMEs and stakeholders.
Key Responsibilities
  • Administer, develop, and maintain Google Looker:
    • User administration, models, dashboards, user attributes
    • LookML development, dashboard design, visualizations
    • Build simple/complex Looks, merge queries, and tune performance
  • Create and maintain SQL Server Reporting Services (SSRS) reports.
  • Develop and maintain SQL Server objects and logic:
    • T-SQL, views, CTEs, functions, stored procedures
    • SQL processes/scripts to move and transform data between data marts
  • Perform data analysis and validation:
    • Analyze data for quality/completeness
    • Validate data marts and dashboards against source systems
    • Implement and document business rules and processes
    • Create and execute test cases for data and reporting requirements
  • Troubleshoot data, dashboards, and reporting issues; respond to investigation requests.
  • Elicit and document requirements for data marts, dashboards, and reporting.
  • Create technical and end-user documentation; train users on Looker capabilities and best practices.
  • Apply appropriate handling of sensitive data, including recognizing and masking PII.
  • Take on team leadership activities as needed (mentoring, task assignment, code reviews, prioritization).

Qualifications
  • Strong SQL Server skills: SQL/T-SQL, views, CTEs, functions, stored procedures.
  • Strong Google Looker experience, including:
    • LookML modeling
    • Tool administration and user attributes
    • Dashboard design and correct visualization selection
    • Merge queries and performance tuning
    • Ability to train both technical and non-technical users
  • Experience creating and maintaining SSRS reports.
  • Strong data analysis skills (business rules, validation, testing, data completeness).
  • Proven troubleshooting and root-cause analysis ability.
  • Excellent communication skills-able to translate business needs into technical requirements and explain technical concepts clearly.
  • Detail-oriented, self-directed, quick to learn new systems, and team-oriented.

Nice to Have
  • Experience assisting with data mart design and data validation frameworks.
  • Prior lead/mentor experience in BI or analytics teams.

What Success Looks Like
  • Reliable, accurate dashboards and reports that reconcile to source data.
  • Well-structured Looker models and dashboards that perform efficiently and are easy for users to navigate.
  • Clear documentation and effective training that increases adoption and reduces support burden.
  • Consistent, secure handling of sensitive data (PII) across reports and analytics products.

Additional Information
All your information will be kept confidential according to EEO guidelines.