SQL

SQL Data Jobs

831 jobs found

24d ago

Lead Compliance Systems/Data Analyst

Yoh, A Day & Zimmermann Company Boston, MA 🇺🇸 Remote

Boston, MA

24d ago

$56 - $80/hr Full time Python Analyst Analytics

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Job Description

Benefits

Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
Health Savings Account (HSA) (for employees working 20+ hours per week)
Life & Disability Insurance (for employees working 20+ hours per week)
MetLife Voluntary Benefits
Employee Assistance Program (EAP)
401K Retirement Savings Plan
Direct Deposit & weekly epayroll
Referral Bonus Programs
Certification and training opportunities

Location: Boston, MA (remote). This long term role offers remote work and the opportunity to influence data readiness and compliance across investment platforms.

Overview

We are seeking a Lead Compliance Systems/Data Analyst to support compliance monitoring, investment guideline management, and data readiness across investment management platforms. This role focuses on ensuring accurate, complete, and timely data is available to support compliance rules, surveillance processes, and regulatory requirements. The successful candidate will work closely with compliance, investment operations, data management, and technology teams to support ongoing integration.

Responsibilities

Partner with compliance teams to identify data requirements supporting investment guideline monitoring and regulatory oversight.
Analyze and validate data used within compliance and investment management platforms.
Ensure accurate data flows across security master, reference data, order management, and compliance systems.
Investigate and resolve data quality issues impacting compliance monitoring.
Support implementation and enhancement of compliance related workflows and controls.
Assist with requirements gathering, documentation, testing, and process improvement initiatives.
Coordinate with business and technology stakeholders to ensure data availability and integrity.
Produce reporting and analysis supporting compliance operations and audits.

Requirements

5+ years of experience within investment management, asset management, compliance operations, or financial services.
SQL, data analysis, and data governance experience.
Strong understanding of investment data and operational workflows.
Experience supporting compliance programs and regulatory reporting requirements.
Excellent analytical and problem solving skills.
Strong communication and stakeholder management capabilities.

Technologies

SQL
Python
Charles River
Aladdin
Sentinel

Compensation

Hourly rate: USD 56.00 – 80.00

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24d ago

Data Analyst – Healthcare Reporting & QI

CFS Delray Beach, FL

Delray Beach, FL

24d ago

$50k - $60k/yr Full time Analyst Analytics Clinical Data

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Job Description

Join CFS in Delray Beach, FL as a Data Analyst focused on healthcare reporting and quality improvement. This onsite role offers a salary range of USD 50,000 to 60,000 per year, a comprehensive benefits package, and a collaborative, mission-driven environment that supports growth in SQL, automation, and reporting.

Benefits

Comprehensive medical, dental, and vision coverage
Retirement plan with a 3% company match
Three weeks of paid time off, plus additional time off
Opportunities to expand SQL, automation, and reporting skills
Collaborative, mission-driven team culture
Direct impact on healthcare quality and outcomes

Responsibilities

Collect, analyze, and validate data from multiple systems to support decisions and reporting
Identify data discrepancies, troubleshoot issues, and determine root causes
Prepare and submit reports to internal stakeholders, state agencies, and external partners
Build and maintain reports, databases, and tools using Excel, Access, SQL, and VBA
Improve workflows by identifying automation opportunities and streamlining manual processes
Maintain SharePoint resources and ensure proper data documentation
Collaborate across operations, leadership, and IT teams
Support audits, reporting initiatives, and continuous improvement efforts
Train staff and promote adoption of improved systems and processes

Requirements

Experience with data analysis, reporting, or business intelligence tools
Working knowledge of Excel (pivot tables, lookups) and exposure to SQL
Familiarity with Microsoft Access, SharePoint, or VBA/macros is a plus
Strong analytical and problem-solving skills with attention to detail
Ability to gather, validate, and interpret data across multiple systems
Effective communication skills, including interaction with leadership
Self-starter who is curious, adaptable, and eager to learn

Technologies

Excel
Microsoft Access
SQL
VBA
SharePoint
Credible (EHR)
Carisk

Preferred / Bonus Experience

Experience in healthcare, behavioral health, or related fields
Knowledge of state or government reporting requirements
Familiarity with Credible (EHR) or Carisk systems

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24d ago

Senior Data Analyst

Dell Medical School Austin, TX

Austin, TX

24d ago

$90k+/yr Full time Senior Advanced Analytics Analyst

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Job Description

Dell Medical School in Austin is seeking a Senior Data Analyst to guide advanced healthcare analytics that inform clinical, operational, and financial decisions. This onsite role partners with senior leaders and cross-functional teams to deliver actionable insights, strengthen data governance, and mentor analysts while navigating a complex healthcare data landscape.

Overview

Location: Austin, TX (onsite)
Salary: USD 90,000 per year
Minimum experience: 5 years
Education: Bachelor's Degree

Responsibilities

Analyzes data using standard statistical tools, methods, and techniques; interprets results to identify significant differences and trends.
Leads the design and execution of advanced statistical models and predictive analytics.
Translates complex business problems into analytical frameworks.
Synthesizes, processes, and analyzes large datasets to uncover actionable insights.
Presents findings to senior leadership and governance committees.
Develops and maintains dashboards and scorecards.
Standardizes KPIs and reporting methodologies across departments.
Automates enterprise-level reporting processes.
Ensures data visualizations are intuitive, accurate, and aligned with strategic goals.
Collaborates with IT to optimize reporting infrastructure.
Develops and implements databases, data collection systems, and analytics strategies that optimize statistical efficiency and data quality.
Leads integration of disparate data sources including EHR, claims, financial, and operational systems.
Assists in defining, developing, and implementing data standards and data quality measures.
Conceptualizes, creates, and maintains operational and research data models for visualization and statistical analysis.
Establishes and maintains standard work procedures governing the appropriate use of data.
Serves as a trusted advisor to clinical and administrative leaders.
Consults with internal and external customers, including faculty and staff, to identify user needs and clarify data requirements.
Provides guidance and interpretation of complex systems and data.
Facilitates data strategy sessions and requirements gathering workshops.
Builds consensus around data definitions and usage.
Mentors junior and mid-level analysts on technical and professional development.
Documents data analysis efforts, including data sources, reporting specifications, tools used, and issue resolutions.
Evaluates and pilots emerging analytics tools and methodologies.
Researches and stays up-to-date on new technologies and data analysis trends.
Leads analytics communities of practice and training sessions.
Contributes to scholarly activity
Participates in strategic planning and digital transformation initiatives.
Supports grant-funded research and academic collaborations.
Represents the organization at industry conferences and professional forums.
Leads post-implementation reviews of analytics projects.
Contributes to vendor evaluations and procurement of analytics tools.

Requirements

Aligned with long-term organizational goals.
Anticipates data needs for emerging initiatives.
Advises leadership on strategic risks and opportunities.
Navigates unclear or evolving data requirements.
Makes sound decisions with incomplete information.
Adapts analysis to shifting priorities.
Builds consensus around data-driven decisions.
Communicates complex findings to diverse audiences.
Gains buy-in for analytics initiatives.
Masters new analytics tools and platforms.
Applies advanced statistical and machine learning techniques.
Stays current with industry trends.
Pilots new technologies for data processing, data generation (e.g. Synthetic), and analysis
Encourages experimentation and learning.
Identifies opportunities for automation and AI.
Leads cross-functional analytics teams.
Shares knowledge and builds analytics capacity.
Supports enterprise-wide data initiatives.
Skilled in large scale data analysis, data processing and data technology
Skilled with one or more industry data models and standards (e.g. OMOP, FHIR, DICOM)
Experience with advanced analytics tools, data visualizations, and cloud data environments (e.g., Azure, Google, AWS)
Relevant education may substitute for experience on a year-for-year basis.
Master's Degree in a quantitative or healthcare-related field with at least 7 year(s) of experience in a complex healthcare environment.
Cloud Data Analytics Certification or equivalent cloud-based certification (Azure, Google, AWS).

Technologies

Azure
AWS
OMOP
FHIR
DICOM

Working Conditions

Standard office equipment
Repetitive use of a keyboard
May be exposed to such occupational hazards as communicable diseases, blood borne pathogens, ionizing and non-ionizing radiation, hazardous medications and disoriented or combative patients, or others

Required Materials

Resume/CV
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest

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24d ago

Databricks Data Engineer

Deloitte Seattle, WA

Seattle, WA

24d ago

$87k - $171k/yr Full time Azure Databricks Big Data Data Analysis

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Job Description

Deloitte is seeking a Databricks Data Engineer to join its Seattle on-site team. The role centers on designing, building, and optimizing cloud-based data engineering solutions with Databricks and Spark to enable large-scale data transformation and data-driven decision making across client engagements. You will collaborate with business and technology colleagues to modernize data environments and support analytics and AI use cases, with a salary range of USD 86,700 to 170,900 per year.

Responsibilities

Design, build, and maintain data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL
Support modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
Develop and maintain batch and streaming data workflows that underpin reporting, analytics, and artificial intelligence use cases
Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support large-scale data transformation programs

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
3+ years of experience in data engineering, ETL development, or data platform engineering
2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and SQL
Experience implementing data models, data integration patterns, and cloud-based data processing workflows
Experience working with at least one cloud platform: AWS, Azure, or GCP
Ability to travel about 50% on average, depending on client assignments
Limited immigration sponsorship may be available

Technologies

Databricks, Apache Spark, Python, SQL
Delta Lake, Databricks Workflows, Unity Catalog
Git, CI/CD pipelines
AWS, Microsoft Azure, Google Cloud Platform (GCP)

The Team

Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business
The team architects, engineering, and deploy cloud-based data solutions to improve decision-making, enable innovation, and support large-scale transformation
Practitioners collaborate across business and technology functions to tackle challenges in data modernization, governance, platform engineering, and insight delivery

Preferred

Experience with Delta Lake, Databricks Workflows, and Unity Catalog
Experience using Git-based version control and CI/CD pipelines
Experience supporting batch and streaming data workloads
Experience with data warehousing, lakehouse architecture, and performance optimization
Experience supporting analytics or machine learning data pipelines
Experience working in consulting or client service delivery environments

Information for applicants with a need for accommodation

Information is available at the following Deloitte page: Join Deloitte assistance for disabled applicants

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24d ago

Call Recording Speech Analytics Engineer

Experis Pennington, NJ

Pennington, NJ

24d ago

$68 - $68/hr Full time Analytics Call Center Call Recording

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Job Description

Experis is seeking a Call Recording Speech Analytics Engineer to join its Technology Support team in Pennington, NJ. The role centers on implementing, configuring, and supporting call recording, speech analytics, and Workforce Management (WFM) systems to support enterprise operations. This hybrid role offers a compensation of $68 per hour and requires a minimum of five years of hands-on experience.

Responsibilities

Implement, configure, and support call recording, speech analytics, and Workforce Management (WFM) systems for the organization.
Coordinate with vendor partners such as NICE to ensure seamless system integration and deployment.
Perform unit testing, performance testing, and troubleshooting to optimize system performance and stability.
Support the transition of solutions into production, including monitoring and documentation.
Collaborate with cross-functional teams to ensure solutions meet technical and business requirements.

Requirements

Minimum of 5+ years of hands-on experience with call recording platforms, speech analytics solutions, and Workforce Management (WFM) systems.
Strong foundation in programming fundamentals, system configuration, and release management.
Experience with NICE platform suite, Windows Server administration, and PowerShell scripting.
Proficiency in SQL, web communication protocols, and Linux operating systems.
Excellent troubleshooting, analytical, and documentation skills, with the ability to work independently and collaboratively.

Technologies

NICE platform suite
Windows Server
PowerShell scripting
SQL
Linux

Benefits

Opportunity to work on innovative, enterprise-level solutions in a regulated environment.
Engagement in a hybrid work schedule with a minimum of 3 onsite days per week.
Chance to contribute to impactful projects supporting organizational growth.
Collaborative and inclusive work environment fostering professional development.
Competitive pay rate aligned with your expertise and experience.
Medical and Prescription Drug Plans
Dental Plan
Vision Plan
401(k), Plus Match
Weekly Pay

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24d ago

Data Engineer

Navy Federal Credit Union Vienna, VA

Vienna, VA

24d ago

$78k - $123k/yr Full time Analytics Azure Data Factory Azure Synapse Analytics

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Job Description

Benefits and culture

Join Navy Federal Credit Union as a Data Engineer and contribute to a collaborative, stability-minded environment that prioritizes growth and impact. This on site role, based in Vienna, VA, offers a competitive salary range of USD 78,400 – 123,200 per year and the opportunity to work closely with Lending data to design, build, and optimize reliable data pipelines. The organization is repeatedly recognized for workplace excellence, including Fortune 100 Best Companies to Work For in 2026 and Computerworld Best Places to Work in IT 2026, among other awards that reflect a commitment to culture, trust, and professional development. On-site opportunities also extend to Pensacola, FL, with standard Monday through Friday hours.

Responsibilities

Build and maintain data pipelines and workflows that support business and data initiatives
Design scalable pipelines for data collection, integration, and storage
Create scripts, stored procedures, and automation jobs to automate data loads and processes
Implement data processing tasks and uphold data integrity and reliability
Optimize existing data workflows for performance and efficiency
Ensure data quality and performance at scale across data platforms
Maintain high availability, scalability, and reliability of data systems
Apply query optimization techniques including execution plan analysis, indexing, and partitioning
Collaborate with team members and business units on projects and data initiatives
Contribute to the development and enforcement of data engineering standards, policies, and best practices
Support data governance, metadata management, and data quality initiatives
Assist with database administration activities, including upgrades and migrations
Support reporting and analytics use cases, including Power BI development
Participate in Agile ceremonies and contribute to backlog refinement and delivery planning
Continuously improve processes and identify opportunities for automation and optimization

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
5+ years of experience in data engineering or a related field
Strong experience with SQL, XML/JSON, SSIS, Azure (Synapse, Data Factory, Databricks) and PySpark
Strong experience with data integration, data processing tools, and ETL frameworks
Experience developing scripts, stored procedures, and automation jobs
Experience with query optimization, execution plans, indexing, and partitioning
Understanding of data warehousing concepts and data system design
Working knowledge of data engineering principles, technologies, and architectures
Working knowledge of Azure DevOps backlogs and Agile delivery (SAFe, Scrum, Kanban)
Working knowledge of SQL Server administration and database upgrades/migrations
Basic knowledge of Power BI reporting and data visualization
Strong problem solving, communication, and collaboration skills

Technologies

SQL
XML/JSON
SSIS
Azure Synapse
Azure Data Factory
Azure Databricks
PySpark
Power BI
Azure DevOps
SQL Server

Hours

Monday to Friday, 8:00 AM to 4:30 PM

Locations

820 Follin Lane, Vienna, VA 22180
5550 Heritage Oaks Drive, Pensacola, FL 32526

About Navy Federal Credit Union

Fortune 100 Best Companies to Work For 2026
Yello and WayUp Top 100 Internship Programs 2025
Computerworld Best Places to Work in IT 2026
Most Loved Workplace – America’s Top Most Loved Workplaces 2025
2025 PEOPLE Companies That Care
Newsweek Most Trustworthy Companies in America 2026
Military Times 2025 Best for Vets Employers
Forbes 2026 America’s Best Large Employers
Forbes 2025 America’s Best Employers for New Grads
Forbes 2025 America’s Best Employers for Tech Workers
2025 RippleMatch Campus Forward Award Winner for Overall Excellence
Military.com Top Military Spouse Employers 2025
2026 Handshake Early Talent Award
Newsweek America’s Greatest Workplaces for Culture, Belonging and Community 2026

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24d ago

Senior AWS Software Data Engineer

Boeing Hazelwood, MO

Hazelwood, MO

24d ago

$161k - $217k/yr Full time Amazon Web Services AWS Azure Cloud

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Job Description

Senior AWS Software Data Engineer on Boeing's Digital Analytics and System Health (DASH) team in Hazelwood, MO, focusing on designing, implementing, and scaling AWS data services, governance, and warehousing to support large-scale digital analytics for Boeing Global Services.

Responsibilities

Lead the end-to-end design, development, testing, and ongoing maintenance of cloud data solutions that meet industry standards, customer needs, safety, and regulatory requirements
Analyze and translate customer requirements into initial designs for software data products
Coordinate development, maintenance, enhancement, and optimization of software data products and system integrations
Develop, document, and maintain architectures, requirements, and designs for software data products
Debug and drive timely resolution of issues to ensure reliability and performance of data products
Research and implement current and emerging technologies, tools, frameworks, and regulatory changes relevant to software development
Establish and monitor software data processes, tools, and key performance metrics that align projects with organizational goals and industry benchmarks
Execute and document software data research and development projects
Consult on software domains, system-specific issues, processes, and regulations

Requirements

Bachelor Degree
Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship
8+ years of experience with Data Engineering and/or Software Development
5+ years of experience designing, implementing, and integrating big data platforms
5+ years of experience designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud)
3+ years of experience deploying and managing distributed systems on at least one cloud platform (e.g., Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP))
3+ years of experience with the configuration of Application Programming Interfaces (APIs) for data ingestion

Technologies

AWS
S3
SQS
Lambda
DynamoDB
OpenSearch
RedShift
Tanzu (formerly PCF)
DocumentDB
Python
JavaScript
SQL
Jira
Git
Azure
Google Cloud Platform (GCP)

Benefits

Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Paid time away from work
Unpaid time away from work

Drug Free Workplace

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies

CodeVue Coding Challenge

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration

Compensation

Summary pay range: $160,650 - $217,350
Total Rewards package includes competitive base pay and variable compensation opportunities
Eligible employees may enroll in a variety of benefit programs, often including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs

Export Control Requirements

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a 'U.S. Person' as defined by 22 C.F.R. §120.62 is required. 'U.S. Person' includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee

Export Control Details

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required

Visa Sponsorship

Employer will not sponsor applicants for employment visa status

Shift

1st shift

Equal Opportunity Employer

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law