SQL Server

SQL Server Data Jobs

8 jobs found

7d ago

Data Analyst

Software Technology Inc Charlottesville, VA

Charlottesville, VA

7d ago

Contract Analyst Analytics Azure Platform

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Job Description

Contract Data Analyst position in Charlottesville, VA focusing on SSRS reporting, SQL data migration support, and BI dashboards, with initial on-site work and potential remote options.

Responsibilities

Design and tailor SSRS reports using configuration team mockups to modify standard vendor reports.
Analyze, clean, and load SQL data to support migration projects.
Develop Business Intelligence reports and dashboards.
Support ETL processes to cleanse and load data to on-premises and cloud databases, including SQL Server scripting and querying, and BI report creation.
Collaborate with ACIT team members, department stakeholders, vendors, and partners to design, develop and implement reporting, integration, and data analytics solutions.

Requirements

Proven expertise in designing, developing, and deploying SSRS reports.
Proficiency with SQL Server.
Strong SQL querying skills for relational databases.
Experience with complex queries, joins, subqueries, and data manipulation.
Ability to perform data analysis, data profiling, SQL coding and query tuning, data modeling, and data validation.
Capability to partner with internal stakeholders to develop reports or address data access and visualization needs.
Experience in data modeling with solid data management skills.

Technologies

SSRS
SQL Server
Power BI
Azure data warehousing solutions
Azure ETL processes and tools
Microsoft Fabric
Python
PowerShell

Benefits

Free parking on site at facilities.

Location

Charlottesville, VA 22902

Duration

12+ Months

Description

Data Analyst duties include creating and customizing SSRS reports, processing and loading SQL data for a migration project, and building BI reports and dashboards. Initial interviews may be virtual, with the possibility of an in-person interview. The selected candidate must be able to work on site for the first full week (5 days) and on-site at least one day per week thereafter.

Day to Day Responsibilities

Initial workload prioritizes SSRS report creation using mockups to tailor standard vendor reports.
Work on ETL processes to clean and load data to on-premises and cloud databases, along with SQL Server scripting and BI report creation.
Collaborate with ACIT team members, stakeholders, vendors, and partners to design and implement reporting, integration, and data analytics solutions.

Experience

4-6 years

On-site Schedule

1-2 days on site per week

Required Skills

Expertise in designing, developing, and deploying SSRS reports.
Proficiency with SQL Server.
Strong SQL querying skills for relational databases.
Experience with complex queries, joins, subqueries, and data manipulation.
Data analysis, profiling, SQL coding, query tuning, data modeling, and data validation.
Ability to work with internal stakeholders to develop reports or address data access and visualization needs.
Experience in data modeling with strong data management skills.

Desired Skills/Experience

Power BI report development
Azure data warehousing solutions
Azure ETL processes and tools
Microsoft Fabric
Proficiency in scripting languages such as Python or PowerShell for automation and data manipulation

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12d ago

Financial Data Analyst

DSI Urbandale, IA

Urbandale, IA

12d ago

$40k - $50k/yr Full time Analyst Analytics Business Intelligence

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Job Description

The Financial Data Analyst role is an in office, onsite position based in Urbandale, IA. The role collaborates with management and cross-functional teams on data tasks, reporting, and ad hoc data requests to support informed decision-making and drive operational efficiency across DSI Systems Inc.

Responsibilities

Handle dealer inquiries and investigate data by querying multiple vendor tables with SQL, resolving dealer disputes in a timely manner.
Lead data collection, reporting, dealer payments, and vendor receivable reconciliation across multiple DSI programs.
Evaluate vendor data and update current vendor payment processes accordingly.
Identify high level data issues from vendors while collaborating with Sales across all levels.
Prepare ad hoc financial reports by consolidating data from various accounting applications and presenting results in an audience-appropriate format.
Provide admin level support to other DSI departments as needed.
Other duties as assigned.

Requirements

Bachelor's degree (BA/BS) with 2+ years of experience in IT, finance, accounting, or analytics, or equivalent work experience.
Proficiency in Microsoft Excel with experience handling large data sets.
Strong interpersonal and communication skills with the ability to influence across departments.
A proactive mindset and determination to uncover solid solutions to core issues.
Excellent analytical and problem-solving abilities.
Extremely detail-oriented and well organized.
Experience with MS SQL, MS SQL Reporting Services, MS Visual Basic; familiarity with Domo is a plus.
Knowledge or experience in accounting or finance is a plus.

Technologies

MS Excel
MS SQL
MS SQL Reporting Services
MS Visual Basic
Domo

Compensation

Salary: USD 40,000 - 50,000 per year

Benefits

Medical, Dental, Vision, and Life insurance become available on the first day of the month following your start date with no extended waiting period
401(k) Plan with employer matching
Paid vacation, personal and sick days, and bereavement leave
DSI Bucks Employee Profit Sharing Program
50% AT&T wireless discount
Paid training
Opportunities for advancement, with a preference for internal promotions

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2mo ago

Business Systems Data Analyst / Power BI & Fabric Developer III

Halff Richardson, TX

Richardson, TX

2mo ago Closed

Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jun 16, 2026).

Job Description

Onsite opportunity in Richardson, TX, focusing on Power BI and Microsoft Fabric development to transform ERP and operations data into analytics-ready structures at Halff.

Responsibilities

Lead the creation, refinement, and optimization of polished Power BI dashboards, covering layout, usability, DAX calculations, data relationships, semantic models, and performance tuning
Study existing SQL Server VP/DataMart datasets, Microsoft Fabric data assets, semantic models, and reporting logic
Design and maintain curated reporting datasets and semantic models in Microsoft Fabric to enable scalable, governed analytics
Transform complex ERP, accounting, project, HR, and operational data into clean, reliable analytics-ready structures
Collaborate on enhancing ETL processes in SQL Server and Microsoft Fabric with internal teams and external consultants
Trace data lineage from source systems through SQL, Fabric, semantic models, and Power BI reports to validate accuracy and explain results
Validate dashboards and datasets against source systems, legacy reports, accounting outputs, and other trusted reporting sources
Partner with internal clients to translate business needs into technical requirements, select appropriate data sources, and deliver vetted dashboards and datasets
Document dataset definitions, business rules, data lineage, assumptions, and known limitations
Support front-office, production and operations, and management reporting as part of a cross-trained Business Systems team

Requirements

Bachelor’s degree in Business Analysis, Finance, Accounting, Computer Science, Information Systems, Data Analytics, or a related area; equivalent experience may be considered
At least 4 years of experience as a Business Analyst, Data Analyst, or in a related analytical role
Strong Microsoft SQL Server experience, including writing, troubleshooting, and optimizing complex T-SQL queries, views, and stored procedures
Advanced Power BI experience, including DAX, data modeling, semantic models, report design, performance tuning, and row/column-level security
Solid understanding of data modeling concepts, including fact/dimension design, grain, star schema, snowflake schema, relationships, and reporting performance
Proven ability to research unfamiliar business data, understand source-system context, and translate complex operational data into trusted reporting structures
Experience validating data and dashboards against other reporting sources to ensure accuracy and consistency
Ability to collaborate with business leaders, accounting/finance, operations, and technical teams to deliver practical data solutions
Familiarity with Microsoft Fabric or similar modern data platform concepts, including curated datasets, pipelines, lakehouse/warehouse patterns, or medallion architecture
Capability to manage small to medium projects of moderate complexity
Strong curiosity, persistence, and the ability to quickly learn new business systems, tools, terminology, and processes
Strong Microsoft Office skills

Technologies

Power BI
DAX
SQL Server
T-SQL
Microsoft Fabric
Dataflows Gen2
Deltek Vantagepoint
Deltek Vision
UKG Pro
Microsoft Office

Benefits

Medical, dental, prescription drug, and life insurance
Short-term and long-term disability insurance
PTO and eight company holidays, with Veterans Day observed
Traditional and Roth 401(k) plans
Employee Stock Ownership Plan (ESOP)
Health Savings Account (HSA)
529 College Savings Plan
Flexible Spending Accounts (FSA)
Employee Assistance Plan
Comprehensive benefits overview available on Halff’s benefits page

Nice-to-have skills

Experience with Deltek Vantagepoint or Vision or other Deltek products
Background in AEC, professional services, project accounting, or ERP-driven project financial data
Experience creating dashboards for project performance, billing, utilization, backlog, revenue, labor, financial, or operational reporting
Experience with Microsoft Fabric medallion architecture, data pipelines, lakehouses, warehouses, notebooks, or Dataflows Gen2
Experience developing reusable governed datasets for enterprise reporting
Experience with UKG Pro or other HR management systems
Experience maintaining or developing business workflows using ERP-native tools or external automation platforms
Understanding of compliance, data governance, security, lineage, and documentation practices in reporting and system design

Company overview

Halff is a full service infrastructure consulting firm delivering planning, design, engineering, construction, and people focused solutions since 1950. The firm emphasizes people, a strong culture, and has been named a Top Workplace in America. Halff operates from more than 30 offices across Texas, Oklahoma, Louisiana, Florida, Arkansas, Arizona, and Georgia.

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2mo ago

Senior Clinical Data & Analytics Engineer

Yale University New Haven, CT

New Haven, CT

2mo ago Closed

$92k - $147k/yr Full time Senior Analytics Architect

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

Job Description

Yale University in New Haven seeks a Senior Clinical Data & Analytics Engineer to drive SQL-based analytics, reporting, and business intelligence for Yale Medicine Clinical Practice, Finance, Revenue Cycle, and operations. The role emphasizes deep SQL expertise, proficiency with BI tools, and experience handling healthcare and financial data to deliver timely, actionable insights.

Location

New Haven, CT (hybrid)

Salary

USD 92,000 - 146,750 per year

Experience

Minimum 6 years

Education

Bachelor's degree

Responsibilities

Provides technical leadership in complex domains and guides major initiatives, developing large-scale programs and systems.
Leads the design and delivery of applications, programs, and systems; assesses departmental processes and needs; ensures stakeholder end-user requirements, timelines, and budgets are met.
Defines quality assurance and unit testing strategies to ensure high-quality solutions; leads collaborative planning, development, and implementation of business solutions; performs complex problem solving.
Offers technical guidance to leadership; leads recommendations, project definitions, and the development of technical designs and documentation, including architectural design, technology choices, and methodologies; creates and manages project plans.
Oversees ongoing maintenance and support for applications and systems; interfaces with vendors to resolve major software issues; makes final decisions on hardware and software purchases.
Drives the development of system documentation; develops formal design proposals and cost and time estimates for new systems.
Mentors technical staff and provides training for end users.
Recommends and establishes new policies and best practices.
Keeps current with existing and emerging technologies and methodologies; contributes to programming standards, procedures, and methodologies.
May perform additional duties as assigned.

Requirements

Strong SQL programming skills with a track record of writing complex queries; proficient in SQL Server, including database objects and stored procedures.
Experience with business intelligence tools, ideally Microsoft Power BI and Tableau.
SAP Business Objects experience is a plus.
Ability to independently build reports, identify data sources, design queries, and perform QA/testing.
Able to analyze complex datasets, translate business requirements into technical solutions, and deliver accurate, actionable insights.
Proficiency with Microsoft Excel and Microsoft Access, including developing and maintaining data-driven processes and workflows.

Technologies

SQL
SQL Server
Microsoft Power BI
Tableau
SAP Business Objects
Microsoft Excel
Microsoft Access
Epic Data Structures (Clarity)
Epic reporting tools

Posting date

04/22/2026

Job Type

Full time

Work Model

Hybrid

Education & Experience

Bachelor's degree required; minimum 6 years of relevant experience

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2mo ago

Data Analytics Engineer (AI/ML Focus)

Tata Consultancy Services Sunnyvale, CA

Sunnyvale, CA

2mo ago Closed

$70k - $125k/yr Full time Analytics APIs Architect

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

Job Description

Tata Consultancy Services is seeking a Data Analytics Engineer with an AI/ML focus to join onsite in Sunnyvale, CA. The role centers on building scalable data pipelines, preparing AI-ready data, deploying ML models with MLOps, developing analytics dashboards, and enforcing data governance within cloud environments.

Responsibilities

Data Pipeline & Infrastructure Development: Build, maintain, and scale ETL or ELT pipelines using Apache Spark, Airflow, and Kafka to support AI and ML workloads.
AI Ready Data Preparation: Convert unstructured data such as text, images, and video into structured datasets suitable for model training, including feature engineering and vector database ingestion.
ML Model Productionization: Collaborate with data scientists to deploy models, create APIs for models, and implement MLOps practices with monitoring for data drift.
Analytics and Visualization: Develop dashboards using Tableau, Power BI, or Looker and execute SQL queries to deliver actionable business insights as an analytics engineer.
Data Governance & Quality: Ensure data quality, reliability, and security for AI systems, with adherence to regulations like GDPR or HIPAA and management of PII/PHI.
Cloud and Data Management: Operate within cloud environments such as AWS, Azure, and Google Cloud, leveraging services like S3, Redshift, Glue, and Databricks.

Requirements

Programming Languages: Expert Python and advanced SQL are mandatory; Java or Scala are preferred for large scale distributed systems.
ML Frameworks: Familiarity with PyTorch, TensorFlow, or Scikit-Learn for data manipulation and model interaction.
Data Engineering Tools: Experience with Apache Spark, Kafka, Airflow, dbt, and vector databases such as Pinecone or Milvus.
Cloud Platforms: Hands-on experience with AWS (Glue, SageMaker) or Google Cloud Platform.
Analytical Skills: Strong ability to perform exploratory data analysis and interpret complex datasets.
Soft Skills: Effective communication to bridge technical data engineering with business stakeholders.

Technologies

Apache Spark
Airflow
Kafka
Tableau
Power BI
Looker
Python
SQL
Java
Scala
PyTorch
TensorFlow
Scikit-learn
dbt
Pinecone
Milvus
AWS
SageMaker
S3
Redshift
Glue
Databricks
Google Cloud

Location

Sunnyvale, CA

Job Function

Technology

Role

Engineer

Job ID

406121

Desired Skills

Artificial Intelligence
Data Analytics
Kafka
Machine Learning
Python
SQL
Apache Spark

Salary Range

$70,000 to $125,000 per year

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2mo ago

Data Engineer II, Analytics Engineering

The Travelers Companies, Inc. Hartford, CT

Hartford, CT

2mo ago Closed

$127k - $209k/yr Full time Analytics Data Engineer Data Governance

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

Job Description

The Travelers Companies, Inc. is seeking a Data Engineer II to join its Analytics Engineering team in Hartford. This role focuses on building and operationalizing complex data solutions that power AI, machine learning, and enterprise business intelligence, while turning insights discovered in data into practical data products across the organization.

Location

Hartford, CT (onsite)

Compensation

Salary: USD 126,500 - 208,700 per year

Summary of role

The Data Engineer II collaborates across teams to deliver reliable data products and analytic environments, translating data stories into actionable solutions and ensuring governance, security, and quality are embedded throughout data pipelines.

Responsibilities

Build and operationalize complex data solutions, address issues, apply transformations, and recommend data cleansing and quality approaches.
Design sophisticated data architectures and pipelines to support analytic processes.
Analyze diverse data sources to determine value and usage, and identify data to include in analytics workflows.
Incorporate core data management practices including data governance, data security, and data quality.
Collaborate within and across teams to support delivery and educate end users on data products and the analytic environment.
Perform data and systems analysis, assess and resolve complex defects and incidents, and implement appropriate corrections.
Test data movement, transformation code, and data components.
Perform other duties as assigned.

Requirements

Bachelor’s degree in computer science, a related STEM field, or an equivalent combination of education and work experience.
Eight years of related experience.
Strong proficiency in SQL and Python.
Proven ETL and data pipeline experience.
Hands-on experience with Databricks, particularly for ETL development.
Four additional years of data engineering experience.

Technologies

SQL
Python
Databricks
Snowflake
Salesforce
SQL Server
GCP
Azure

Benefits

Health Insurance
Retirement
Paid Time Off
Wellness Program
Volunteer Encouragement

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2mo ago

Azure Data Engineer with Power BI and C# .NET exp--Need Government domain

infopeople corporation Queens, NY

Queens, NY

2mo ago Closed

$55 - $65/hr Contract Python .NET Azure

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

Job Description

infopeople corporation is seeking an Azure Data Engineer with Power BI and C# .NET experience to design, build, and maintain cloud-based data solutions within a government domain. This onsite role in Queens, NY centers on delivering scalable data pipelines, analytics, and reporting capabilities that support government initiatives.

Responsibilities

Design and implement scalable data pipelines leveraging Azure Data Lake, Spark, Hadoop, and ETL tools such as Informatica and Talend to handle large-scale structured and unstructured data.
Create and optimize data models, data warehouses, and relational databases (MS SQL Server, Oracle, and others) to enable analytics and reporting.
Develop interactive Power BI dashboards and reports, integrating data from Looker, Apache Hive, and other linked datasets to yield actionable insights.
Collaborate with cross-functional teams to capture requirements, translate business needs into technical specifications, and build RESTful APIs for data access.
Author efficient code in C# .NET, Python, Bash, and shell scripting to automate workflows, improve performance, and support model training initiatives.
Maintain thorough documentation of data architecture, processes, and security controls aligned to government standards.
Participate in Agile development cycles, contributing to sprint planning, daily stand-ups, and ongoing improvement.

Requirements

Proven experience as an Azure Data Engineer or similar role in government or enterprise environments.
Strong proficiency in Azure data services, including Azure Data Lake and Azure Data Factory, for cloud-based data management.
Hands-on Power BI experience to create visualizations and reports; familiarity with Looker is a plus.
Proficient in C# .NET; Python for data analysis or automation tasks is highly desirable.
Deep understanding of big data technologies such as Hadoop, Spark, Apache Hive, and ecosystems like Kafka or related frameworks.
Extensive experience with SQL Server and Oracle databases; solid database design principles.
Familiarity with ETL tools like Informatica or Talend; modeling and analysis skills for training data are advantageous.
Knowledge of RESTful API development for secure data exchange; experience in an Agile environment.

Technologies

Azure Data Lake
Spark
Hadoop
Informatica
Talend
Microsoft SQL Server
Oracle
Looker
Apache Hive
Kafka
REST API
C# / .NET
Python
Bash
Shell Scripting
Power BI
Power BI Desktop
Power BI Report Builder
DAX
Data Gateway
Azure Data Factory
Azure Data Lake Storage
Azure Databricks
Azure Synapse Analytics
SSIS
Microsoft Purview
Terraform
Airflow
PySpark

Data Engineering & Architecture

Extensive ETL/ELT design and optimization experience
Advanced SQL skills (expert level)
Python / PySpark proficiency
Dimensional data modeling with star schema
REST API integrations

Azure Data Stack

Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Azure Data Lake Storage

Microsoft Data Platform

Experience with SQL Server data warehouse environments
Working knowledge of SSIS and modernization or migration of SSIS workflows to Azure-based solutions

Power BI

Power BI Desktop (expert level)
Advanced DAX
Executive dashboard development
Paginated reports (Power BI Report Builder)
Data Gateway configuration
Incremental refresh
Row-Level Security (RLS)

Terraform (Infrastructure-as-Code)

Orchestration tools (Airflow or equivalent)
Security systems data integration experience
Experience with C# / .NET web application development for integration with internal systems or APIs

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3mo ago

Visual Analytics Developer/Designer

Donnelly & Moore Corporation Rye, NY

Rye, NY

3mo ago Closed

$80 - $95/hr Contract .NET Analyst Azure

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