MS SQL

MS SQL Data Jobs

18 jobs found

4d ago

Senior Data Engineer (FTE)

Cittabase Solutions Houston, TX

Houston, TX

4d ago

$80k - $110k/yr Full time Senior Analytics Azure Data Factory

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Job Description

Senior Data Engineer to design and build modern data pipelines and cloud platform solutions for enterprise clients, with a focus on Microsoft SQL Server, Microsoft Fabric, and Databricks.

Responsibilities

Demonstrated expertise in data schema design, data modeling, and building data pipelines.
Proven track record delivering ETL and ELT solutions to ingest data from diverse sources.
Hands on with Microsoft SQL Server and Azure products including SSIS, SSAS, Microsoft Fabric, Azure Data Factory, Azure DevOps, and Power BI.
Design and implement cloud data architectures to support pipelines and analytics workflows, with a preference for Microsoft Fabric.
Assess user requirements for reports, dashboards, forms, queries, and data extraction.
Develop and deploy end user tools for data extraction, querying, and data manipulation aligned with business processes.
Leverage Azure services for data storage, processing, and analysis.
Work with Azure Data Lake for big data processing and analytics.
Analyze data using various tools to deliver insights to business stakeholders.
Create Power Automate workflows to improve automation and efficiency in data processing.
Exhibit a deep understanding of data architecture and pipeline design.

Requirements

5+ years of experience in data warehouse development and data pipeline development.
Experience with SQL Server and Azure Fabric, including SSIS, Azure Data Factory, and Power BI.
Experience with Medallion Architecture.
Familiarity with Azure data management services.
Ability to analyze complex datasets and present findings clearly.
Certification in Microsoft Fabric tech stack.
US citizens or residents only.

Technologies

Microsoft SQL Server
Microsoft Fabric
Databricks
SSIS
SSAS
Azure Data Factory
Azure DevOps
Power BI
Azure Data Lake
Power Automate scripts
Medallion Architecture

Overview

We are seeking a talented Senior Data Engineer to join our team with experience across Microsoft SQL Server, Microsoft Fabric and Databricks. You will be part of a team delivering modern data pipelines and cloud platform solutions for enterprise clients.

Job Type: Full-time

Salary: USD 80,000 - 110,000 per year

Location: Houston, TX (onsite)

Ability to commute: Houston, TX 77001 (Required)

Ability to relocate: Houston, TX 77001: Relocate before starting work (Required)

Work location: In person

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7d ago

Data Engineer

Everforth Philadelphia, PA

Philadelphia, PA

7d ago

Up to $110k/yr Full time Analytics Azure Azure Data Factory

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Job Description

Data Engineer role in Philadelphia, PA (hybrid) focusing on Azure-based data platforms, SQL development, and Power BI reporting to support analytics and reporting.

Responsibilities

Design and support enterprise data warehouse solutions on Azure
Build and maintain data pipelines using Azure Data Factory and CDC
Develop and optimize SQL Server databases using T-SQL
Create data models using DBT
Develop Power BI reports and dashboards
Support data migrations and ensure data accuracy and integrity
Partner with stakeholders to translate data requirements into solutions
Apply data governance and security best practices, especially for financial data

Requirements

Bachelor's or Master's degree in a related technical field
3+ years of experience with T-SQL and data warehouse development
Experience with Azure Data Factory, SQL Server and DBT
Experience with Microsoft Fabric
Power BI reporting experience

Technologies

Azure
Azure Data Factory
SQL Server
T-SQL
DBT
Power BI
Microsoft Fabric
CDC

Benefits

Medical, life, dental, vision
401k 50% match up to 6%
15 PTO days plus two floating holidays
7 holidays

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7d ago

Data Analyst

CACI Colorado Springs, CO

Colorado Springs, CO

7d ago

$75k - $158k/yr Full time Analyst Analytics Azure

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Job Description

CACI is seeking a Data Analyst to design, build, and maintain Power BI dashboards and reports for the DoD EITaaS program within the DAF SIPR environment. The role centers on turning diverse data into actionable insights for enterprise IT service delivery, collaborating with stakeholders and technical teams to ensure secure, scalable analytics.

Responsibilities

Develop and maintain Power BI solutions: design, build, and sustain interactive dashboards and reports that meet business needs; optimize performance and scalability; implement data security to safeguard sensitive information.
Data modeling and ETL: create and maintain data models in Power BI Desktop; extract, transform, and load data from databases, APIs, and cloud storage using Power Query (M); ensure data quality through validation and cleansing; develop tabular and multidimensional models aligned with warehouse standards.
DAX programming: write advanced DAX formulas for calculated columns, measures, and tables; optimize DAX code for performance; apply techniques such as time intelligence and ranking.
Collaboration and communication: partner with business stakeholders to translate data needs into Power BI solutions; work with data engineers and DBAs to ensure data availability and accuracy; document data models, ETL processes, and Power BI solutions; engage with data gateway, data integration, and self-service data preparation; provide end-user training and support.
Best practices and standards: follow Power BI development standards; stay current with new features; contribute to a governance framework for Power BI.
Troubleshooting and support: diagnose and resolve issues with Power BI reports and data sources; address data connectivity problems and optimize dashboards for enterprise-scale deployment; provide ongoing maintenance for existing Power BI solutions.

Requirements

US Citizenship required.
On-site work at Peterson SFB, Colorado Springs, CO.
Current certification for Security+ or CISSP, CCNA, or CCNP.
Active Department of Defense (DoD) Secret Clearance.
10+ years of relevant experience (Bachelor's degree in an applicable field may substitute for up to 5 years).
3+ years of experience developing Power BI or similar reports, dashboards, and data models.
Strong experience with data modeling concepts (e.g., star schema, snowflake schema).
Experience with ETL processes and data warehousing principles.
Proficiency in DAX (Data Analysis Expressions).
Experience with Power Query (M language) for data transformation.
Experience connecting to and retrieving data from various data sources (e.g., SQL Server, Azure SQL Database, cloud storage).
Expertise in Power BI Desktop and Power BI Service.
Strong understanding of data visualization principles.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Ability to work independently and as part of a team.

Technologies

Power BI
Power BI Desktop
Power BI Service
DAX
Power Query (M language)
SQL Server
Azure SQL Database
Git
Azure Data Factory
Azure Synapse Analytics
Tableau
Qlik
Deneb (Vega or Vega-Lite)

Benefits

Healthcare
Wellness benefits
Financial benefits
Retirement benefits
Family support
Continuing education
Time off benefits

Job Details

Salary: USD 75,200 - 158,100 per year
Location: Colorado Springs, CO (onsite)
Job ID: 327881
Job Category: Information Technology
Time Type: Full time
Minimum Clearance: Secret
Employee Type: Regular
Travel: Up to 10% (Continental US)
Anticipated Posting End: 7/6/2026

The Opportunity

CACI seeks an experienced, self-directed enterprise Power BI Developer to transform complex data from multiple sources into a variety of informational formats for diverse audiences. The EITaaS program, a Department of the Air Force initiative involving the Air Force and Space Force, aims to modernize IT services into an advanced enterprise service delivery model.

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9d ago

Data Engineer

INSPYR Solutions Spring, TX

Spring, TX

9d ago

$70 - $85/hr Contract Analytics Azure Azure Data Factory

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Job Description

We are seeking a Data Engineer for a contract role with INSPYR Solutions, based onsite in Spring, TX. The position focuses on designing scalable data models and Azure-based pipelines to enable organization-wide analytics and business intelligence. The assignment requires onsite work in Spring, TX, three days per week.

Job Details

Location: Spring, TX (onsite)
Job Type: Contract
Salary: USD 70 - 85 per hour
Required Experience: 5 years minimum

Responsibilities

Design and maintain dimensional data models and semantic layers to support enterprise reporting and analytics, applying data warehousing and architecture best practices.
Develop scalable, modular ETL and ELT pipelines using Azure Data Factory, Synapse Pipelines, and Databricks.
Transform raw data into analytics-ready structures with Spark SQL, DBT, and Azure Synapse; implement data quality checks and schema evolution strategies.
Leverage Azure services including SQL Server, Synapse Analytics, Databricks, and Delta Lake to build and manage scalable data infrastructure and pipelines.
Integrate data workflows with Azure DevOps and Git for version control, automated testing, and continuous deployment.
Collaborate with analysts and BI developers to ensure data models support reporting and visualization in tools such as Power BI.
Monitor data pipelines and models, troubleshoot issues, and optimize for high availability and performance.
Continuously adopt and apply current data engineering practices, tools, and technologies.

Requirements

5 to 7 years of experience in data engineering or related roles.
Proven expertise in data modeling, particularly dimensional modeling, and data warehouse design.
Hands-on experience with Azure Data Factory, Synapse Analytics, Databricks, and DBT.
Strong SQL and Spark SQL skills.
Experience with CI/CD, DevOps, and version control systems such as Git and Azure DevOps.
Familiarity with Power BI or similar visualization tools.
Solid understanding of data integration, data quality, and data transformation best practices.
Demonstrated problem-solving ability and a collaborative mindset.

Technologies

Azure Data Factory
Azure Synapse Analytics
Databricks
DBT
Spark SQL
SQL Server
Delta Lake
Power BI
Azure DevOps
Git

Benefits

Comprehensive medical benefits
Competitive pay with a 401(k) plan
Retirement plan
Additional benefits available

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12d ago

Data Engineer

Fairfax County Fairfax, VA

Fairfax, VA

12d ago

$87k - $155k/yr Full time Analytics Apache Airflow Automation

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Job Description

Fairfax County's Department of Information Technology offers a stable, public-sector role with a strong emphasis on data-driven decision making. This onsite opportunity in Fairfax, VA provides a competitive salary range of USD 87,024 - 155,120 per year, a collaborative culture, and a chance to impact the community by delivering secure, scalable data solutions. You will work with analytics and AI teams to design and deploy robust data platforms that support decision making and innovation.

Responsibilities

Design, build, and maintain ETL pipelines using orchestration tools such as Apache Airflow and Azure Data Factory, along with big data frameworks like Spark and Hadoop, to move data from multiple sources into centralized stores like data warehouses and data lakes.
Plan and optimize database and data architectures by designing storage solutions (including PostgreSQL, SQL Server, MongoDB, Cassandra, AWS S3, Google BigQuery), covering schemas, partitioning, indexing, and data modeling for performance, scale, and cost.
Maintain data quality, governance, and security through validation rules, anomaly detection, metadata and lineage management, and adherence to compliance frameworks (GDPR, HIPAA), with encryption, access controls, and auditing in partnership with security teams.
Collaborate with business analysts, data scientists, and developers to provide optimized datasets, improve query performance, integrate APIs, and support data projects for decision-making and innovation.
Build and manage Snowflake environments, including initial setup, warehouse configuration, RBAC, data ingestion pipelines, and performance optimization to enable scalable, secure, and cost-efficient analytics.
Coordinate across cross-functional teams to support data initiatives and ensure alignment with broader BI and data efforts.
Perform additional duties as needed to sustain and advance business intelligence and data initiatives.

Requirements

Bachelor's degree in computer information systems, business administration, or a related field, plus five years of experience in information systems and process redesign, with experience managing and implementing all phases of the systems development life cycle, including at least one year in a supervisory role.
An associated criminal background check will be required and must be satisfactory to the employer.

Technologies

Apache Airflow
Azure Data Factory
Spark
Hadoop
PostgreSQL
SQL Server
MongoDB
Cassandra
AWS S3
Google BigQuery
Snowflake

Preferred Qualifications

Experience designing and maintaining ETL pipelines using Apache Airflow or Azure Data Factory.
Strong background with big data frameworks (Spark, Hadoop) and cloud storage (AWS S3, Google BigQuery).
Experience integrating external data sources via APIs or streaming frameworks into centralized repositories.
Experience building or optimizing data lakes or data warehouses, including schema design and partitioning strategies.
Experience implementing data validation rules and anomaly detection to ensure production data quality.
Experience managing metadata and data lineage to support governance.
Expertise in relational and NoSQL databases, data modeling, governance, and security best practices.
Proven ability to collaborate with analytics and AI teams, including query optimization and dataset preparation.
Strong technical communication, problem-solving, and organizational skills.
Experience working in the public sector and in large-scale data environments.

Physical Requirements

Work is generally sedentary and performed in a standard office environment. Duties may be performed with or without reasonable accommodations.

Selection Procedure

Panel interview and may include a practical exercise.

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23d ago

Data Engineer

Professional Staffing Services Group Orlando, FL

Orlando, FL

23d ago

$90k - $100k/yr Full time Python Apache Airflow Big Data

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Job Description

Data Engineer role in Orlando, FL onsite, focused on collecting, storing, processing, analyzing, and modeling large datasets to power data-driven applications and scalable analytics across the organization.

Responsibilities

Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines, including integrating new sources into the central data warehouse and moving data out to applications and affiliates.
Maintain, monitor, and optimize analytics data warehouses and the overall data platform.
Provide hands on development, deployment, maintenance, and support for a mix of cloud and on premise solutions, web service infrastructures, and supporting technologies.
Produce scalable, replicable code and engineering solutions to automate repetitive data management tasks.
Collaborate with project managers, business analysts, data scientists, and key stakeholders to translate business requirements into technical specifications and ensure data infrastructure meets business needs.
Continuously evaluate the technical strategy, identify performance gaps, and design creative solutions.

Requirements

Bachelor's degree in Computer and Information Science required; master's degree preferred.
Snowflake and Python certifications are highly preferred but not required.
Excellent interpersonal, communication, and problem solving skills; exceptionally organized with strong attention to detail, systemic thinking, and a collaborative, team-oriented mindset.
3+ years of related data engineering or IT experience.
Proven experience with Apache Spark, Hadoop, Java/Scala, Python, and AWS architecture.
Experience with Microsoft .NET technologies (C#, VB.Net) and designing, developing, and deploying Windows and Web applications.
Experience in data modeling and database development using PL/SQL, SQL Server (2016 or later), and Snowflake; strong working knowledge of relational databases and SQL.
Proven experience building data pipelines, APIs, and ETL flows in cloud and on premise environments using tools like Snowpipe, Informatica, Airflow, and Kafka.
Track record of manipulating, processing, and extracting value from large, disconnected, or unstructured datasets, with the ability to perform root cause analysis on data processes to identify business opportunities.

Technologies

Snowflake
Python
Apache Spark
Hadoop
Java
Scala
AWS
.NET technologies (C#, VB.Net)
PL/SQL
SQL Server
Snowpipe
Informatica
Airflow
Kafka
SQL

Salary

USD 90,000 - 100,000 per year

Education

Bachelor's (Preferred)

Experience

Data Engineering: 3 years (Preferred)
IT: 3 years (Preferred)
Big data and Cloud: 2 years (Preferred)
Data modeling: 2 years (Preferred)
ETL: 1 year (Preferred)
.NET: 1 year (Preferred)

Licenses and Certifications

Snowflake or Python certification (Preferred)

Location

Orlando, FL 32801 (Preferred)

Work Location

In person

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1mo ago

Senior Data Engineer

Optum Eden Prairie, MN 🇺🇸 Remote

Eden Prairie, MN

1mo ago Closed

$92k - $164k/yr Full time Senior Azure Data Engineer

This position is no longer accepting applications (closed Jul 6, 2026).

Job Description

Optum, part of UnitedHealth Group, is seeking a Senior Data Engineer to design and scale ETL pipelines and data enrichment capabilities within UHG Trend Analytics. This role focuses on delivering dependable data applications that meet business requirements, with remote work options across the United States and in-office requirements in Minneapolis, MN or Washington, DC.

Location: Eden Prairie, MN (remote)

Salary: USD 91,700 - 163,700 per year

Responsibilities

Provide accurate and timely estimates for tasks
Offer support and leadership in critical production support issue resolution
Lead root-cause analysis on in-scope incidents with recommended corrective action plans
Collaborate with the team to resolve production issues within SLA targets
Perform code reviews to ensure high-quality deliverables
Prioritize production issue resolution with business stakeholders
Develops innovative approaches
Data Engineering

Requirements

6+ years of data engineering work experience
6+ years of ETL development experience
6+ years of SDLC experience
6+ years of experience writing advanced complex queries, code optimization with SQL

Technologies

Python
Snowflake
Azure
Databricks
SSIS
.Net
Oracle
SQL Server
Teradata
SQL

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

Full time Senior Azure Azure Data Factory

1mo ago

Cost Engineer/Data Analyst (TS clearance required)

Lockheed Martin Corporation Littleton, CO

Littleton, CO

1mo ago Closed

$105k - $208k/yr Full time Analyst Analytics Business Analytics

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