Database

Database Jobs

107 jobs found

23d ago

AI Data Engineer Stf

Lockheed Martin Corporation Fort Worth, TX 🇺🇸 Remote

Fort Worth, TX

23d ago

$114k - $227k/yr Full time Artificial Intelligence Big Data Bigdata

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Job Description

Join Lockheed Martin Corporation as a senior level AI Data Engineer in Fort Worth, TX with remote work options. This role offers a competitive salary range of USD 113,900 to 227,125 per year and a comprehensive benefits package. You will design, build, and maintain scalable data pipelines and data warehouses to support AI and ML initiatives, leveraging SAP HANA and modern cloud data services. The role emphasizes collaboration with data scientists, analysts, and mission stakeholders to operationalize AI models and knowledge graphs while upholding strict security, governance, and compliance standards. U.S. citizenship is required for this position.

Responsibilities

Design, build, and maintain secure data pipelines that support classified AI and ML workloads
Create ontology-based data models to enable knowledge representation and reasoning
Collaborate with data scientists, analysts, and mission stakeholders to operationalize AI models and knowledge graphs
Enforce rigorous data validation, lineage tracking, and governance controls in line with security requirements
Partner with data architects and analysts to deliver end-to-end data processing solutions
Engage with business stakeholders to develop and deploy data analytics or custom software solutions and lead teams in implementing them
Optimize performance and reliability of large-scale data systems in constrained environments
Mentor junior engineers and uphold secure coding and engineering best practices
Oversee collection, ingestion, processing, and storage of large datasets from diverse sources
Perform impact analysis including data lineage and upstream/downstream dependencies
Provide after hours on-call support on a rotating basis

Requirements

Degree in Computer Science, Systems Engineering, or a related field
10+ years of data engineering experience, including at least 3 years supporting AI/ML systems, with a foundation in traditional BI and data warehousing concepts (ETL, data modeling, reporting)
5+ years of experience in data analysis or data/system architecture
Experience gathering requirements and understanding business processes
Strong proficiency in Python, NiFi, and SQL
Experience with distributed data processing frameworks such as Spark or similar
Hands-on experience building ETL/ELT pipelines at scale
Familiarity with secure cloud environments (eg, AWS GovCloud, Azure Government) or on-prem systems
Understanding of data security principles, including encryption and access control
Familiar with Safe Agile framework

Technologies

SAP HANA
Python
NiFi
SQL
Apache Spark

Benefits

Medical
Dental
Vision
Life Insurance
Short-Term Disability
Long-Term Disability
401(k) match
Flexible Spending Accounts
EAP
Education Assistance
Parental Leave
Paid time off
Holidays

Job details

Location: Fort Worth, TX (remote)
Type: Full-Time
Shift: First
Relocation: No
Citizenship: US Citizenship required
Experience Level: Experienced Professional
Career area: Information Technology
Business unit: Enterprise Business Services

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23d ago

Senior/Mid Level Data Engineer - Active TS is a MUST

VISUAL SOFT, INC Huntsville, AL

Huntsville, AL

23d ago

Full time Senior AWS Aws Glue

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Job Description

Senior or Mid-Level Data Engineer with an active Top Secret clearance, based onsite in Huntsville, Alabama, focusing on ETL development, data migration initiatives, and AWS-based data pipelines.

Responsibilities

Design and sustain ETL pipelines to process large-scale structured and unstructured data, covering extraction, transformation, and loading.
Develop data migration solutions that bridge legacy systems to modern platforms using SQL, Java, and cloud-native tools.
Establish data integration frameworks that leverage AWS services such as Glue, Lambda, S3, RDS, Redshift, and Kinesis.
Create automation scripts in Python, Shell, or Bash to support deployment, data validation, and ongoing maintenance tasks.
Maintain and enhance data pipelines to support real-time streaming and batch processing.
Contribute to data quality initiatives, metadata management, and governance activities.
Engage in Agile/Scrum sprints, participating in design discussions, code reviews, testing, and documentation efforts.
Troubleshoot and resolve data-related issues across on-premises and AWS environments.

Requirements

Active Top Secret clearance; U.S. citizenship required
Location: Huntsville, Alabama, 100% onsite
Employment type: Full-Time Permanent or 1099 Consultant
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
5+ years of hands-on data engineering experience for a Mid-Level role, or 8+ years for a Senior role
Strong hands-on experience with ETL tools such as Informatica, Talend, Pentaho, AWS Glue, or custom Java ETL frameworks
Proficiency in SQL and at least one major RDBMS (Oracle or PostgreSQL)
Experience with data migration projects and data quality validation
Proficient in Java or Python for data processing and automation
Experience with cloud technologies, preferably AWS (RDS, S3, Lambda, Redshift, Glue)
Working knowledge of Linux/Unix environments and shell scripting
Experience in an Agile/Scrum development environment
Excellent problem-solving, analytical, and communication skills

Technologies

Informatica
Talend
Pentaho
AWS Glue
AWS Lambda
AWS S3
AWS RDS
AWS Redshift
AWS Kinesis
Java
Python
SQL
Oracle
PostgreSQL
MongoDB
Linux
Unix
Shell scripting
Agile/Scrum

Benefits

PTO of 3 weeks, including sick leave, with unused PTO paid out at anniversary
2 floating holidays
8 public holidays
50% health and dental insurance coverage for full-time employees; dependents available at extra cost
Health and dental coverage effective after 30 days; employee must complete health and dental paperwork within first 30 days
STD, LTD, and life insurance provided at no cost to employees
401(k) with 4% company match and immediate vesting after 90 days
Profit sharing for all W-2 employees, with no employee contributions required

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23d ago

Data Engineer (Bid Role starting in 10 weeks) - TS/SCI w/ Poly

Leading Path Consulting McLean, VA

McLean, VA

23d ago

$175k - $275k/yr Contract Apache Airflow Automation AWS

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Job Description

Leading Path Consulting has a Data Engineer bid role for a planned start in ten weeks. The position is based onsite in McLean, VA, with a salary range of USD 175,000 to 275,000 per year, and a focus on assessing, designing, and implementing robust data infrastructure and pipelines across the organization, emphasizing data quality, observability, and governance. This bid role requires an active TS/SCI with FS poly.

Responsibilities

Conduct comprehensive assessments of current data pipelines, infrastructure, and data flows, including integrations with ServiceNow, network-management tools, and business applications, to identify technical debt, bottlenecks, and reliability issues.
Evaluate current data architecture against industry best practices and organizational needs; develop technical recommendations and a roadmap for data infrastructure improvements.
Design, implement, and maintain production-grade data pipelines using orchestration platforms such as Airflow or Prefect.
Develop resilient ETL and ELT processes from diverse sources including SaaS platforms, network management systems, databases, APIs, files, and streams.
Build API integrations with authentication methods (OAuth, API keys, SSO), plus rate limiting, pagination, retry logic, and error handling.
Extract data from systems not designed for export, reverse-engineering undocumented data structures and relationships.
Manage semi-structured data (JSON and XML) and transform it into structured datasets with consistent schemas.
Design dimensional models, data warehouses, and data marts following industry methodologies.
Create conceptual, logical, and physical data models optimized for query performance and storage efficiency.
Implement slowly changing dimensions and other data warehousing patterns.
Establish naming conventions, data standards, and modeling best practices.
Implement comprehensive data quality checks, validation rules, and automated monitoring with alerting.
Embed error handling, failure recovery, logging, and observability into all processes.
Optimize pipelines for performance, cost, and resource utilization.
Develop reusable components and frameworks; refactor legacy pipelines for reliability.
Build and maintain data infrastructure on cloud platforms (AWS, Azure, or GCP) using infrastructure-as-code with Terraform and CloudFormation.
Implement CI/CD pipelines, version control with Git, and automated testing frameworks.
Manage database performance tuning, indexing, partitioning, and capacity planning.
Establish backup, recovery, security controls, access controls, and compliance measures.
Partner with analysts, software developers, and business stakeholders to translate requirements into technical solutions.
Create comprehensive documentation for systems, processes, and integrations.
Provide technical guidance on data availability and proper usage; enable self-service access.
Troubleshoot pipeline failures, performance issues, and data discrepancies; perform root cause analysis.

Requirements

Active TS/SCI with FS poly required prior to application.
Proven experience building and managing data pipelines.
Hands-on experience with Python.
Experience with cloud computing using AWS services.
Experience processing data with Apache Spark.
Experience with a relational database management system (PostgreSQL, Oracle, MySQL) and writing SQL queries.
Experience working in Linux environments and with shell scripting.
Experience analyzing data in formats such as CSV, XML, JSON, Avro, Parquet, etc.
Experience writing and validating unit tests.

Technologies

Airflow
Prefect
Python
AWS, Azure, GCP
Apache Spark
PostgreSQL
Oracle
MySQL
Linux
Shell scripting
JSON, XML, Avro, Parquet
OAuth, Single Sign-On (SSO)
Terraform, CloudFormation
Git
ServiceNow
NetIM
Forward Networks
Hive
Iceberg
EMR

Benefits

Fully paid medical, dental, and vision premiums
Generous paid time off
11 paid holidays
6% 401(k) contribution
Annual training and tuition reimbursement
SPOT Award bonuses
Regular team events
Opportunities for professional growth and advancement

Travel

Travel is anticipated for this contract, pending sponsor approval. Local travel or point-of-view travel within the local place of performance is expected on an as-needed basis.

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23d ago

Business Systems Data Analyst / Power BI & Fabric Developer III

Halff Richardson, TX

Richardson, TX

23d ago

Full time Analyst Analytics Business Analytics

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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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24d ago

Associate Data Analyst (Project Hire/Internal Assignment)

Disney Lake Buena Vista, FL

Lake Buena Vista, FL

24d ago

$62k - $88k/yr Full time Analyst Analytics Business Analytics

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Job Description

Onsite at Disney's Lake Buena Vista campus, the Associate Data Analyst role sits at the crossroads of data science and daily operations, translating complex computer vision outputs into tangible improvements across Disney's global platform. You will support analysis, reporting, and data-driven decisions, helping identify trends, review detection outputs, and convert metrics into actionable insights that enhance experiences for Guests and Cast Members. This position collaborates with cross-functional teams to move the organization from reactive detection to proactive optimization.

Compensation and Location

Salary: USD 62,200 - 87,500 per year

Location: Lake Buena Vista, FL onsite

Responsibilities

Assist with data extraction and organization from computer vision systems, enabling the team to detect patterns in detection behavior and highlight emerging trends for assessment
Perform formal reviews of detection results, record false positives and false negatives, and assemble findings into reports that guide tuning efforts by engineers
Regularly monitor data pipelines for health, surface anomalies or data gaps, and escalate issues to senior colleagues for resolution
Provide defined support for containerized Linux applications, execute maintenance per documented procedures, and escalate technical issues to software engineers as required
Translate analytical results into clear, structured summaries suitable for leadership review and decision-making
Track recurring data patterns over time and document early-warning indicators to shift operations from reactive to proactive
Maintain dashboards and briefing materials with current data; flag anomalies to senior staff prior to leadership review
Join cross-functional sessions with operations, data science, and engineering teams, capture clear notes, and drive follow-ups to keep initiatives progressing
Maintain precise records, trackers, and status updates to support project management as the program scales to new sites
Document observed trends or anomalies with relevant data and support senior analysts through root-cause investigations
After updates or changes, perform before-and-after comparisons using defined metrics to assess whether outcomes improved
Ensure data integrity and handle guest and operational information with discretion and accuracy

Requirements

Bachelor’s Degree or equivalent experience in Data Analytics, Business Analysis, Information Technology, or related field
1+ years of experience in data analysis, project analysis, or a technical analytical role
Working knowledge of data generated by computer vision or machine learning models, including familiarity with evaluating detection outputs
Familiarity with Linux environments and containers (Docker); exposure to Kubernetes (K8s) is a plus
Ability to identify patterns or trends in data and develop deeper analytical skills over time
Familiarity with data tools for visualization and analysis (Tableau, Power BI, SQL, Python or R); willingness to learn team-specific tools
Advanced Excel skills (VLOOKUP, pivot tables, charts, complex formulas) with strong SQL for large datasets
Ability to independently analyze data and translate insights into clear, actionable recommendations
Proven ability to create clear, visually compelling presentations and tailor messaging for global audiences
Experience presenting complex findings to technical and non-technical stakeholders, including executives
Excellent written and verbal communication and collaboration across technical and non-technical teammates
Strong time-management and organizational skills across multiple tasks or stakeholders
High attention to detail, especially when data informs critical operational decisions
Flexibility to travel occasionally to domestic and international partner locations (APAC and EMEA) to support initiatives

Technologies

Docker
Kubernetes (K8s)
Tableau
Power BI
SQL
Python
R
Excel

Benefits

Health and savings benefits
Educational opportunities
Special extras unique to Disney

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24d ago

Data Analyst, Supply Chain

Tesla Lathrop, CA

Lathrop, CA

24d ago

$63k - $113k/yr Full time Analyst Analytics Apache Airflow

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Job Description

Tesla is seeking a Data Analyst to support Material Planning with supply chain analytics, onsite in Lathrop, CA.

Responsibilities

Develop and maintain tools, dashboards, and platforms delivering end-to-end visibility into supply and demand planning across multiple tiers of the supply chain
Design and run supply simulations to identify gating points, forecast risk, and support proactive decision-making by planning and GSM teams
Create and manage automated data pipelines for daily workflow orchestration, data extraction, transformation, and reporting
Automate daily operational workflows to reduce manual steps and drive excellence across Material Planning, GSM, and Component GSM teams
Query and analyze large-scale datasets using SQL to uncover supply chain trends, exceptions, and actionable insights
Develop Python-based automation scripts and data processing pipelines for data extraction, transformation, reporting, and simulation modeling
Collaborate cross-functionally with Demand Planning, Material Planning, GSMs, Component GSM, Systems teams, and regional stakeholders to align analytics with operational priorities
Support leadership with dashboards, ad-hoc analyses, supply risk assessments, and quarterly operational summaries
Independently manage multiple analytical projects, platform builds, and data support requests, ensuring objectives and deadlines are met
Partner with IT and Systems teams to define system requirements and participate in the software development lifecycle from design to deployment and user acceptance testing

Requirements

Degree in a quantitative field (e.g., Engineering, Supply Chain, Computer Science, Business Analytics, Economics) or equivalent experience, with 2+ years in supply chain analytics, demand/supply planning, or related analytical roles
Strong proficiency in SQL for querying large datasets
Experience with Python for data analysis, automation, and pipeline development (examples include pandas and NumPy)
Ability to analyze complex data, run simulations, and present findings clearly and concisely
Experience building and maintaining automated data pipelines and workflow orchestration using Apache Airflow or similar tools
Collaborative, flexible working style with the ability to build trust across planning, GSM, and systems teams
Experience building frontend tools and platforms using React and JSS is highly preferred
Experience creating dashboards and visualizations using Tableau or similar tools is highly preferred
Familiarity with multi-tier planning, gating analysis, and supply/demand balancing is a strong plus

Technologies

SQL
Python (pandas, NumPy)
Apache Airflow
React
JSS
Tableau

Benefits

Medical plans with $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental and vision plans with $0 paycheck contribution
HSA contributions when enrolled in the High-Deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life and AD&D insurance
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and vacation time, flexible time for salaried roles, accrued hours for hourly roles, and paid holidays
Back-up childcare and parenting support resources
Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance
Weight loss and tobacco cessation programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

What to Expect

In this role you will be the analytics lead for the Material Planning team, serving as the primary expert for supply and demand planning analytics, multi-tier visibility, and operational reporting. You will build tools, platforms, and automated pipelines that provide real-time visibility into gating supply chains, enable supply simulations, and drive operational excellence across planning workflows.

Expected Compensation

Salary range of $62,640 to $113,400 per year, plus cash and stock awards and benefits. Pay offered may vary based on location, knowledge, skills, and experience. The total compensation package may include additional elements dependent on the position offered; details will be provided with an offer.

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25d ago

BI Analytics Engineer

Uline Pleasant Prairie, WI

Pleasant Prairie, WI

25d ago

Full time Python Analytics Business Analytics

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Job Description

Uline offers a comprehensive benefits package and a collaborative, in-house technology culture. Our team enjoys health insurance, a 401(k) with employer match, bonus programs, paid holidays, paid time off, and tuition assistance for continuing education. Join a company where a 450+ person in-house tech team builds and maintains the systems that power our operations, from warehouse management to ecommerce.

As a BI Analytics Engineer, you will transform data into actionable insights, design impactful dashboards, and develop scalable analytics solutions. You will partner with cross-functional teams to support enterprise systems using the Microsoft BI Stack and Python.

Responsibilities

Collaborate with the Senior BI and Analytics team to design datasets and deliver insights that support our growing business.
Work with business leaders to build scalable solutions and dashboards using the Microsoft BI Stack and Python.
Translate business needs into scalable data models and reporting layers that enable consistent, reliable analysis.
Document analytics requirements, data models, and processes to ensure consistent and accurate reporting.

Requirements

A bachelor’s degree in Information Technology, Computer Science, or a related field.
At least three years of experience building solutions with the Microsoft BI Stack, including Power Apps, Power Automate, and Power BI.
Strong knowledge of Python, SQL, relational databases, and data modeling.
Excellent communication, collaboration, and problem-solving skills.
Uline does not participate in the H1-B lottery.

Technologies

Power Apps
Power Automate
Power BI
Python
SQL

Benefits

Health insurance
401(k) with employer match
Bonus programs
Paid holidays
Paid time off
Tuition assistance for continuing education

Why ULINE

Uline maintains a 450 plus person in-house technology team that designs and supports the custom systems that power our operations, from warehouse management to ecommerce.

Careers Packed with Potential

Backed by more than 45 years of success, Uline offers opportunities to grow your career with stability you can rely on.

About ULINE

Uline, a family-owned company, is North America’s leading distributor of shipping, industrial, and packaging materials, employing more than 9,800 people across 14 locations.