CrawlJobs Logo
Robert Half Logo Robert Half · IT - Software Development

SQL Server Data Engineer

United States, Albuquerque · Job Posted January 24, 2026
Apply Position
Job Link Share

Job Description

We’re looking for a SQL Server Data Engineer to support and optimize our legacy Operating Budget Management System (OBMS) environment. This role is ideal for someone experienced in stored‑procedure–driven systems, SQL performance tuning, and SSRS reporting.

Job Responsibility

  • Maintain and optimize T‑SQL code, stored procedures, and functions
  • Perform query tuning, indexing, and performance diagnostics
  • Develop and deploy SSRS reports
  • troubleshoot reporting issues
  • Translate business requirements into technical solutions
  • Support database design and ETL/data integration efforts
  • Document changes and follow change‑management best practices

Requirements

  • Minimum of 5 years' experience working with Microsoft SQL Server in production environments
  • Proficiency in T-SQL, stored procedures, and performance tuning techniques
  • Demonstrated experience in developing and deploying SSRS reports
  • Strong knowledge of managing large and complex database systems
  • Excellent communication skills to effectively interact with stakeholders
  • Ability to work onsite in Albuquerque, New Mexico, at least three days per week
  • Familiarity with database design and integration processes
  • Experience in troubleshooting and resolving database-related issues

What we offer

  • medical, vision, dental, and life and disability insurance
  • eligible to enroll in our company 401(k) plan
Robert Half - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

SQL Server Data Engineer

8 matching positions

Senior SQL Server Architect (MS SQL)

We are seeking an experienced MS SQL Architect, for a project-based assignment, ...
Location
Location
Mexico
Salary
Salary:
Not provided
techholding.co Logo
Tech Holding
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience working with Microsoft SQL Server in production environments
  • Proven experience operating at an Architect or Senior-level DBA capacity with ownership of database decisions
  • Deep expertise in query optimization, indexing strategies, and performance tuning
  • Strong experience with SQL Server 2016 or newer
  • Hands-on experience with high availability solutions (Always On, clustering, replication)
  • Proven experience leading database migrations end-to-end (on-prem to AWS/Azure or hybrid environments)
  • Strong understanding of database design, normalization, and large-scale data modeling
  • Experience supporting high-volume, production-grade systems
  • Advanced T-SQL skills
Job Responsibility
Job Responsibility
  • Design and architect scalable, high-performance SQL Server environments
  • Assess existing database systems and define architecture improvements across performance, indexing, and query optimization
  • Lead end-to-end database migration initiatives (on-prem to cloud, version upgrades, or re-platforming)
  • Optimize stored procedures, queries, and schema design for large-scale datasets
  • Partner with DevOps and infrastructure teams on deployment, monitoring, and automation strategies
  • Implement best practices for backup, recovery, high availability, and disaster recovery (HA/DR)
  • Analyze and resolve complex performance bottlenecks in production environments
  • Provide technical leadership and mentorship to engineers and database developers
  • Ensure data integrity, security, and compliance across database systems
Read More
Arrow Right

Technical Support Engineer - Azure Data Factory / Data Integration

Within CE&S, the Customer Service & Support (CSS) organization builds trust and ...
Location
Location
Malaysia , Kuala Lumpur
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Information Technology (IT), or related field AND 1+ years of technical support, technical consulting experience, or information technology experience
  • OR 3+ years of technical support, technical consulting experience, or information technology experience
  • OR equivalent experience
  • Azure Data Factory (ADF)
  • Azure Synapse Analytics / Microsoft Fabric Pipeline
  • Data Lake
  • Relational Database Management System (Microsoft SQL Server / Oracle Database / MySQL / IBM Db2 / SAP)
  • Big Data or Analytics Products (Spark / Azure HDInsight / Azure Data Lake Analytics / Azure Synapse Analytics / Databricks / Google BigQuery)
  • Pipeline and ETL/ELT Skills
  • Building and orchestrating pipelines (ADF / Synapse / Fabric)
Job Responsibility
Job Responsibility
  • Response and Resolution: You own, investigate and solve customer technical issues. You collaborate within and across teams, leveraging troubleshooting tools and practices
  • Readiness: You lead or participate in building communities with peer delivery roles and, where appropriate, share your knowledge
  • You develop specific technical and professional proficiency to enable you to resolve customer issues, through training and readiness
  • Product/Process Improvement: You identify potential product defects and escalate appropriately to resolve, contributing to Microsoft product improvements
  • Fulltime
Read More
Arrow Right
New

Senior Data Engineer

At Schwab, you’re empowered to make an impact on your career. Here, innovative t...
Location
Location
United States , Southlake
Salary
Salary:
164000.00 - 183000.00 USD / Year
schwab.com Logo
Charles Schwab
Expiration Date
June 22, 2026
Flip Icon
Requirements
Requirements
  • Bachelor of Science in Computer Science or a related field
  • The ideal candidate should have at least 7+ years of data engineering experience, 5+ years development experience and 3 years or more experience with Postgres database management. The candidate must additionally have experience with Oracle, SQL Server, MySQL, and/or Mongo DB
  • Must have worked as alongside a business vertical to establish nomenclature, data catalogs, provenance, standards, semantics and usage of data
  • Deep knowledge and experience with query development and optimization (SQL, PL/SQL, and No SQL)
  • Experience in performance-tuning database applications is a MUST
  • Experience in multi-datacenter DB installations, disaster recovery, and replication techniques
  • Advanced knowledge of database backup and recovery strategies
  • Ability to work in a Unix environment including an ability to write scripts in Unix
  • Provide database technical support for Technology and Application Delivery projects
  • Must have excellent written and verbal communications skills
Job Responsibility
Job Responsibility
  • Define and maintain conceptual, logical, and physical database models by working with business stakeholders and identifying optimal database specifications. Ensures that database design and system capabilities meet validated user requirements. Work with application development teams designing, developing, and enhancing database schemas, creating database views, helping with query optimization, and figuring out ways to increase application performance. Enhance and recommend solutions / processes for downstream impact analysis associated with data and/or model changes. Support, maintain and enhance applications (when necessary) written with ETL tools such as Informatica, Airflow, Snowflake and additionally support teams using custom ingestion and transformation processes. Collaborate with enterprise stakeholders to implement and adhere to data storage standards and maintain catalogs to facilitate consistent data management practices. Establish data quality metrics and monitoring processes to proactively identify and resolve data quality issues. Work with various IT departments within Schwab to perform preventive and corrective maintenance and incident management measures. Ensure database integrity, availability, and restorability by working with enterprise operational excellence teams. Evaluates the integration of new tools or technologies based on the capabilities of the existing infrastructure. Recommend solutions and help with functional and performance testing needs (mock data, test environments, data refresh processes). Responsible for coordination of planning the installation of operating systems, databases, applications, development upgrades, and new releases. Follow and develop database standards, guidelines, and best practices. Establishes standards, controls, and procedures to ensure data integrity and security. Perform capacity planning and projection for future growth. And finally, be able to work in an Agile Scrum environment
What we offer
What we offer
  • 401(k) with company match and Employee stock purchase plan
  • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
  • Paid parental leave and family building benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance
  • Medical, dental and vision benefits
  • 401(k) and employee stock purchase plans
  • Tuition reimbursement to keep developing your career
  • Paid parental leave and adoption/family building benefits
  • Sabbatical leave available after five years of employment
  • Fulltime
!
Read More
Arrow Right

Senior Data Engineer

Are you a Senior Data professional who enjoys mentoring talent and designing hig...
Location
Location
Greece , Athens
Salary
Salary:
Not provided
https://www.randstad.com Logo
Randstad
Expiration Date
July 10, 2026
Flip Icon
Requirements
Requirements
  • University degree in Computer Science, Statistics, Mathematics, or a related Quantitative field.
  • 5+ years of professional experience in Data Engineering with a mastery of MS SQL Server (T-SQL, SSIS, Performance Tuning).
  • Proven experience in mentoring or leading technical team members.
  • Exposure to VBM methodologies or a strong understanding of financial/business data modeling.
  • Hands-on experience with QlikSense or Qlikview (or similar BI visualization tools like Tableau/Power BI).
  • Excellent command of the English language.
  • A proactive leader with an analytical mindset and a passion for knowledge sharing.
Job Responsibility
Job Responsibility
  • Lead the design and implementation of robust data architectures using on-premise MS SQL Server technologies.
  • Mentor and guide junior developers, assisting them in technical design and ensuring best practices in database management and ETL processes.
  • Develop complex data models that drive strategic business decisions and high-level reporting.
  • Collaborate with business stakeholders to translate VBM methodologies into technical requirements.
  • Oversee the integration of data flows into visualization tools, ensuring data accuracy and top-tier performance.
Read More
Arrow Right

Sr. Data Engineer

The Senior Data Engineer supports enterprise data unification and analytics init...
Location
Location
United States , Deerfield
Salary
Salary:
Not provided
tier4group.com Logo
Tier4 Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience designing, developing, and supporting data pipelines (ETL/ELT) that integrate data from multiple systems
  • Strong SQL skills, including writing and optimizing complex queries, joins, and stored procedures in Microsoft SQL Server or comparable relational databases
  • Hands-on experience with Azure Synapse Analytics, Azure Data Factory, or similar cloud-based data warehousing and integration platforms
  • Experience working with large datasets in cloud or hybrid data environments
  • Working knowledge of data modeling concepts, including fact and dimension tables and schema design for analytics and reporting
  • Experience supporting business intelligence tools, particularly Microsoft Power BI, including datasets and dataflows
  • Ability to use scripting or programming languages such as SQL, Python, or PySpark for data transformation and automation
  • Approximately 3–5 years of professional experience in data engineering, analytics engineering, or a related role
  • Approximately 1–3 years of experience in data modeling or database design for analytics use cases
  • Undergraduate degree or equivalent experience in Computer Science, Information Systems, or a related field
Job Responsibility
Job Responsibility
  • Design, build, and maintain automated ETL/ELT data pipelines that ingest and transform data from Microsoft Dynamics 365 and legacy systems into an Azure Synapse data lake and enterprise data warehouse
  • Monitor, optimize, and support data pipeline performance to ensure reliable, timely data refreshes and efficient resource utilization
  • Implement data quality checks, validation rules, and cleansing processes to ensure data accuracy, consistency, and readiness for enterprise-wide analysis
  • Support data unification efforts by integrating data from multiple business units and systems without altering source system integrity
  • Contribute to the design and evolution of enterprise data models, including dimensional and star schemas, to support standardized reporting and unified business definitions
  • Define and maintain master data structures and relationships that enable analysis across both ERP and non-ERP data sources
  • Prepare curated and optimized datasets for business intelligence and analytics use cases, including Power BI dashboards and self-service reporting
  • Write and optimize SQL queries and develop new pipeline components to support reporting, analytics, and ad hoc data needs
  • Collaborate with business analysts, business intelligence developers, ERP specialists, and other stakeholders to translate reporting and analytics requirements into technical solutions
  • Apply data engineering and analytics best practices, including version control, documentation, code review, and performance tuning
  • Fulltime
Read More
Arrow Right

Data Engineer

The Associate Data Engineer is an entry level role within the Data Engineering j...
Location
Location
Malaysia , Selangor Darul Ehsan, Selangor
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Knowledge of the definition and management of scoping requirements, definition and prioritization activities
  • Understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
  • Knowledge of Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
  • Understanding of data architecture landscape between physical and logical data models
  • Analytical mindset with good business acumen skills
  • Problem-solving aptitude with the ability to communicate effectively, both written and verbal
  • Ability to build effective relationships at all levels within the organization
  • Programming languages (Perl, bash, Shell Scripting, Python, etc.)
  • Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
  • Basic experience as a data engineering, data mining within a fast-paced environment
Job Responsibility
Job Responsibility
  • Supports the creation of data models in a structured data format to enable analysis thereof
  • Assists with the design and development of scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
  • Participates in the transformation of object and data models into appropriate database schemas within design constraints. Interpret installation standards to meet project needs and produce database components as required
  • Takes direction from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
  • Assists with running data migrations across different databases and applications, for example, MS Dynamics, Oracle, SAP and other ERP systems
  • Supports the definition and implementation of data table structures and data models based on requirements
  • Takes part in analysis, and development of ETL and migration documentation
  • Receives detailed instructions from various stakeholders to evaluate potential data requirements
  • Assists with the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives
  • Takes direction from various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models
  • Fulltime
Read More
Arrow Right

Data Engineer

Are you ready to architect the data foundation that drives our dynamic, consumpt...
Location
Location
United States , Exton
Salary
Salary:
Not provided
bentley.com Logo
Bentley Systems
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A bachelor's degree in computer science, Engineering, Mathematics, or a related field, or equivalent practical experience as a Data Engineer
  • 3+ years of hands-on experience as a Data Engineer, proven, impactful track record in a Data Engineer or heavily related data architecture role
  • High proficiency in writing and optimizing SQL and Python
  • Deep, hands-on experience with modern cloud data platforms and tooling, specifically Snowflake, dbt, Fivetran, and SQL Server
  • Exceptional problem-solving capabilities, meticulous attention to detail, and the ability to thrive both autonomously and within a highly collaborative remote team
Job Responsibility
Job Responsibility
  • Pipeline Engineering: Design, build, and optimize scalable ELT/ETL pipelines to ingest, process, and transform massive volumes of structured and unstructured data
  • Data Integration: Architect and maintain seamless integrations across diverse internal and external data sources, including databases, APIs, and business application software
  • Governance & Security: Champion data integrity and accuracy
  • Implement rigorous security measures and ensure strict adherence to financial data regulations, including SOX compliance
  • Infrastructure Management: Proactively monitor system performance, troubleshoot bottlenecks, and continuously optimize the data infrastructure for maximum scalability, speed, and cost-efficiency
  • Cross-Functional Collaboration: Partner closely with data scientists, business analysts, and leadership to capture requirements and deliver high-quality, reliable, and curated datasets
  • Continuous Innovation: Maintain comprehensive documentation for data models and pipelines
  • Stay ahead of industry trends and introduce cutting-edge methodologies and tools to our stack
What we offer
What we offer
  • A great Team and culture
  • An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction
  • An attractive salary and benefits package
  • A commitment to inclusion, belonging, and colleague well-being through global initiatives and resource groups
  • A company committed to making a real difference by advancing the world's infrastructure for a better quality of life, where your contributions help build a more sustainable, connected, and resilient world
  • Fulltime
Read More
Arrow Right

Data Engineer

The Senior Data Engineer is an advanced subject matter expert, accountable for t...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Advanced knowledge of the definition and management of scoping requirements, definition and prioritization activities
  • Advanced understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
  • Advanced expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
  • Advanced understanding of data architecture landscape between physical and logical data models
  • Analytical mindset with excellent business acumen skills
  • Problem-solving aptitude with the ability to communicate effectively, both written and verbal
  • Ability to think strategically and build effective relationships at all levels within the organization
  • Advanced expert in programing languages (Perl, bash, Shell Scripting, Python, etc.)
  • Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
  • Relevant certifications preferred such as SAP, Microsoft Azure etc
Job Responsibility
Job Responsibility
  • Designs data models in a structured data format to enable analysis thereof
  • Designs and develops scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
  • Participates in the transformation of object and data models into appropriate database schemas within design constraints
  • Interprets installation standards to meet project needs and produces database components as required
  • Directs test scenarios and is responsible for participating in thorough testing and validation to support the accuracy of data transformations
  • Accountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems
  • Works across multiple IT and business teams to define and implement data table structures and data models based on requirements
  • Accountable for analysis, and development of ETL and migration documentation
  • Works with various stakeholders to evaluate potential data requirements
  • Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives
  • Fulltime
Read More
Arrow Right