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2mo ago

Supply Chain Data Analyst - MDM

JLG Hagerstown, MD

Hagerstown, MD

2mo ago Closed

$73k - $118k/yr Full time Analyst Analytics Business Analytics

This position is no longer accepting applications (closed Jun 24, 2026).

Job Description

Onsite in Hagerstown, MD, this Supply Chain Data Analyst - MDM role on the Supply Chain Digitalization team supports GPSC decisions by identifying, collecting, processing, and analyzing datasets, acting as data steward/SME, and collaborating with data engineers and scientists; salary ranges from USD 73,200 to 117,800 per year.

Responsibilities

Identify, acquire, explore, prepare, assess, and maintain datasets from internal sources to support analyses and ad hoc investigations for function-specific projects.
Lead master data management initiatives and related system deployments to preserve data integrity across high-impact GPSC data sources.
Under limited supervision, perform data analysis tasks, visualization work, data quality improvements, and troubleshoot data incidents including root-cause resolution.
Apply SQL and statistical techniques to acquire, enrich, and analyze data.
Manage incidents, changes, problems, tasks, and requests related to data operations.
Leverage knowledge of processes, people, products, data, and systems within at least one business unit.
Define business problems and identify opportunities.
Define relevant data dimensions and metrics.
Collaborate with Data Engineers to draft and test data views meeting project needs.
Partner with Data Scientists to gain a basic understanding of predictive and prescriptive analytics, and foundations of ML and AI.
Provide data to validate problems and opportunities.
Draft goals, roles, and sustainment plans for initiatives.
Collaborate with cross-functional teams on data needs for solutions, often within a single business function.
Apply technical writing and verbal communication to support change management and ongoing management of data solutions.
Engage in analytics Communities of Practice across functions, business units, and digital technology groups.
Assist citizen analysts in building views and in analyzing, interpreting, and communicating data insights.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or an equivalent qualification.
Three or more years of experience in data analysis, information technology, or related areas.
Experience with web-based applications including Power BI, Azure Databricks, and the Microsoft Office suite (PowerPoint, Word, etc.).
Ability to travel up to 20%.

Technologies

SQL
Power BI
Azure Databricks
Microsoft PowerPoint
MS Word
Microsoft Office

Standout Qualifications

Attention to detail, strong problem-solving, and sound decision-making abilities.
Analytical mindset with excellent written and verbal communication skills.

Working Conditions

The role combines office-based administrative duties with field or production environment activity.
Office tasks may require extended computer use, sitting, and attending meetings.
Field or floor work may involve walking across varied terrains or shop floors, standing, moderate lifting up to 50 pounds, climbing stairs, and exposure to varying temperatures or noise levels.
Ability to shift focus between detailed cognitive work and occasional physical tasks as needed.
Reasonable accommodations are available for qualified individuals with disabilities to support performance in both office and field responsibilities.

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2mo ago

Analyst, Information Technology (Data Engineer)

Oriental Bank San Juan, PR

San Juan, PR

2mo ago Closed

Full time Analyst Apache Airflow AWS

This position is no longer accepting applications (closed Jun 23, 2026).

Job Description

The Analyst, Information Technology (Data Engineer) at Oriental Bank is a mid‑level data engineering role based in San Juan, Puerto Rico with a hybrid work arrangement. The position focuses on designing, building, and operating scalable data pipelines and platforms for banking and financial services data in a regulated environment, leveraging Snowflake and AWS. A bachelor’s degree and at least three years of relevant experience are expected.

Responsibilities

Design, develop, and maintain ELT/ETL pipelines for batch and event driven data ingestion, leveraging Snowflake and AWS.
Model and optimize Snowflake schemas, including tables, views, and secure data shares, to support analytics and downstream consumption.
Implement scalable data processing solutions using SQL and Python.
Integrate with AWS services such as S3, Lambda, Glue, and IAM to enable data ingestion, processing, and access control.
Create and sustain pipelines that handle financial transactions and customer data with accuracy, completeness, and auditability.
Implement data quality checks, reconciliation logic, and monitoring appropriate for regulated financial data.
Collaborate with data architects to ensure pipelines align with enterprise data models, standards, and governance expectations.
Support production deployments via Git version control, CI/CD pipelines, and infrastructure as code practices.
Participate in Agile delivery teams, contributing to sprint planning, design reviews, and technical documentation.
Other duties may be assigned.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
Three or more years of professional experience in Data Engineering or a related role.
Equivalent combination of education, training, and experience may be considered.
Strong hands on experience with Snowflake, including data ingestion, transformations, and performance optimization.
Experience working within AWS cloud environments, particularly with S3 and serverless services.
Advanced SQL skills and experience handling large, complex datasets.
Proficiency in Python for data processing and pipeline automation.
Experience with modern data engineering tools and frameworks such as dbt, Airflow, Spark/PySpark, or equivalents.
Familiarity with Git, CI/CD practices, and production support workflows.

Technologies

Snowflake
AWS
S3
Lambda
Glue
IAM
SQL
Python
dbt
Airflow
Spark
PySpark
Git
Tableau
Looker
Amazon QuickSight
Kafka
Kinesis
Databricks

Work Authorization and Eligibility

Applicants must be legally authorized to work in the United States. The position is ongoing and requires permanent or ongoing work authorization.
The employee is responsible for maintaining eligible work authorization throughout tenure with the organization.

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2mo ago

Sr. Data Engineer, Cell Quality & Field Reliability

Tesla Sparks, NV

Sparks, NV

2mo ago Closed

Full time Senior Data Engineer Data Integration

This position is no longer accepting applications (closed Jun 23, 2026).

Job Description

Benefits

Medical plans > plan options with $0 payroll deduction
Family-building, fertility, adoption and surrogacy benefits
Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
Healthcare and Dependent Care Flexible Spending Accounts (FSA)
401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
Company paid Basic Life, AD&D
Short-term and long-term disability insurance (90 day waiting period)
Employee Assistance Program
Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
Back-up childcare and parenting support resources
Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
Weight Loss and Tobacco Cessation Programs
Tesla Babies program
Commuter benefits
Employee discounts and perks program

Location: Sparks, NV (onsite)

This role sits on Tesla's Cell Quality and Field Reliability team, focusing on designing and maintaining scalable data infrastructure, ETL pipelines, and automation tools to support cell testing, failure analysis, and data integrity.

Responsibilities

Own the design, development, and optimization of scalable data infrastructure and ETL pipelines to process large-scale analytical data efficiently
Build and maintain internal applications for data entry, analysis, and reporting, prioritizing user experience, performance, and adaptability
Design and implement data validation, auditing, and state-tracking systems to ensure accuracy and reliability in cell testing processes
Build CI/CD workflows, intelligent indexing systems, and automation tools that increase testing throughput and data accessibility
Partner closely with technicians and engineers to translate complex testing requirements into intuitive, scalable technical solutions, and provide continuous user support

Requirements

Bachelor's Degree in Computer Science, Data Engineering, relevant STEM disciplines, or equivalent expereince
Proven experience designing and building tools with Python and SQL in large scale/production environments
Strong proficiency in React, TypeScript, and modern JavaScript for building efficient and responsive user-facing tools
Experience with Docker/Kubernetes for containerization and orchestration
Exceptional organizational skills and outstanding written and verbal communication abilities, able to bridge technical and non-technical audiences to resolve issues and improve user experience
Strong ownership mindset, meticulous attention to detail, and a genuine desire to deeply understand systems and processes

Technologies

Python
SQL
React
TypeScript
JavaScript
Docker
Kubernetes

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2mo ago

Data Analytics Engineer

Direct Travel Remote 🌍 Remote

Remote

2mo ago Closed

Full time Analytics Business Analytics Business Intelligence

This position is no longer accepting applications (closed Jun 23, 2026).

Job Description

This remote role centers on building a global analytics platform that turns data into actionable insights for internal teams and thousands of clients. You will design embedded analytics experiences and collaborate across engineering and data workstreams to deliver data products that solve business problems with a data driven mindset. The position also comes with a total rewards package designed to support work-life balance and well being.

Responsibilities

Consolidate and process data from multiple raw and unrefined data stores to fuel reporting and analytics capabilities.
Design and deploy core data product visualizations, reports, models, and performance improvements to drive outcomes.
Partner with IT teams and business units to capture data requirements and deliver actionable insights and solutions.
Analyze trends in complex IT data to identify opportunities for process enhancements and policy development.
Present clear, concise analytics that deliver distinctive industry insights from core travel data for clients and stakeholders.

Requirements

Bachelor’s degree in information technology, Computer Science, Data Science, or a related field, or equivalent experience.
Advanced knowledge of diverse databases, including SQL based RDBMS and document stores.
Hands on experience with a data and analytics programming language such as Python, R, or Scala.
Experience with web application development and front end reactive frameworks like VueJS or React, plus familiarity with middle and back end software development methodologies.
Understanding of the software development lifecycle and source control using Git or alternatives.
Experience with cloud providers (AWS, Azure, or GCP) and related data platforms.
Solid grasp of the data lifecycle, from pipeline development to data warehouse architecture and analytics enablement.
Senior level experience with more than one cloud based analytics platform such as Looker, Tableau, or PowerBI.
Experience building semantic models across large datasets in scalable and performant ways.
Exposure to cloud based data warehouses such as Snowflake, Databricks, or Azure Data Lake.
Experience implementing governance and compliance frameworks for analytics data products.
Curious, diagnostic mindset for query and system tuning and performance optimization.
Track record of building bespoke data products from the ground up that integrate analytics and business intelligence for visuals and core functionality.
Strong verbal and written communication skills to effectively share findings with stakeholders.
Adept at crafting queries, writing reports, and presenting results.

Technologies you’ll work with

SQL and document stores
Python, R, Scala
VueJS, React
Git
Amazon AWS, Azure, GCP
Looker, Tableau, PowerBI
LookML
Snowflake, Databricks, Azure Data Lake

Preferred qualifications

Proven working experience as a data analytics engineer.
Snowflake, Looker, and LookML modeling experience.

Benefits and onboarding

In addition to medical, dental, and vision coverage, Direct Travel offers a Total Rewards Package that includes retirement plans, wellness programs, rewards and recognition, sustainability initiatives, DEI efforts, and mental health support.

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2mo ago

Analytics Engineer, Data Platform

AndHealth Columbus, OH

Columbus, OH

2mo ago Closed

Full time Analytics Business Intelligence Data

This position is no longer accepting applications (closed Jun 23, 2026).

Job Description

The Analytics Engineer, Data Platform at AndHealth designs and maintains dbt models and ETL pipelines, and develops the semantic layer for self-service analytics across clinical, pharmacy, billing, and care operations.

Responsibilities

Create, implement, and maintain dbt models to transform raw data from clinical, pharmacy, billing, and care operations into clean, domain-specific data marts.
Collaborate with Data and Software Engineering on ETL/ELT pipeline design, data ingestion, and raw-to-staging transformations to ensure data is delivered in a usable form for analytics engineers.
Develop and own the semantic layer in Omni by defining governed metric definitions, curated datasets, and self-service data products that analysts and stakeholders can consume directly.
Build a comprehensive testing suite across the data platform, including schema tests, data quality checks, anomaly detection, and SLA monitoring to foster trust in the data.
Implement and maintain data governance practices such as lineage documentation, cataloging, access control, and column-level documentation in dbt.
Become a domain expert in the assigned area (pharmacy operations, billing, or care operations) by thoroughly understanding business logic and translating it into accurate, scalable data models.
Collaborate with analysts to understand data needs, accelerate workflows, and reduce time spent on ad hoc data prep, enabling focus on higher-order analysis and strategy.
Contribute to platform level decisions including warehouse organization, modeling conventions, CI/CD for dbt, and tooling standards across the analytics engineering team.
Proactively identify data quality issues, gaps in coverage, and opportunities to improve the reliability and usability of the data platform.

Requirements

Strong SQL proficiency with the ability to write complex queries, CTEs, window functions, and performance-optimized transformations across large datasets.
Hands-on experience with dbt (Core or Cloud): understanding of the modeling layer, ref() dependencies, tests, macros, and structuring a well-organized dbt project.
Solid understanding of data warehouse concepts, including dimensional modeling, mart layers, slowly changing dimensions, and staging/intermediate/mart separation.
Experience with ETL/ELT pipelines and partnering with data or software engineers on data ingestion.
Comfort with the command line, including running scripts, managing files, and troubleshooting basic shell operations.
Strong analytical instincts: ability to interrogate data, identify anomalies, trace root causes, and communicate findings to technical and non-technical audiences.
Ability to operate in ambiguous, fast-moving environments with competing priorities.
Bachelor's degree in Computer Science, Economics, Engineering, Mathematics, or a related quantitative field, or equivalent.

Technologies

SQL
dbt
Omni
Looker
Metabase
Python

Benefits

Equal investment and support for our people and patients
A fun and ambitious start-up environment with a culture that takes on big things, takes risks, and learns quickly
Opportunities to demonstrate creativity, innovation, and conscientiousness, and to collaborate effectively
A team of highly skilled, welcoming, and supportive colleagues with diverse strengths
Commitment to ongoing learning and growth, both personally and professionally
Full-time employees are eligible for a benefits package including Medical, Dental, and Vision Insurance, Paid time off, Short- and Long-Term Disability, and more

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2mo ago

AI Machine Learning Engineer Staff

Lockheed Martin Corporation Moorestown, NJ 🇺🇸 Remote

Moorestown, NJ

2mo ago Closed

$133k - $265k/yr Full time Artificial Intelligence Machine Learning Machine Learning Engineer

This position is no longer accepting applications (closed Jun 23, 2026).

Job Description

Senior AI/ML Engineer Staff with enterprise-scale AI development and deployment, leading technical tasks and mentoring engineers, with remote or on-site flexibility.

Responsibilities

Develop AI enabled technologies and products to enhance capabilities across internal teams, organizations, business areas, and customers.
Engage across the full systems development lifecycle, including requirements, system and software design, development, implementation, integration, and deployment.
Operate across TRL stages—from low TRL research and proofs of concept to prototypes, demonstrators, and production transitions.
Apply AI paradigms such as computer vision, deep learning, and reinforcement learning.
Assume technical lead duties, take ownership of critical tasks, and mentor junior engineers.
Work at any major Lockheed Martin facility or remotely.

Requirements

Bachelor’s Degree in Engineering, Computer Science, or related discipline.
10+ years of professional experience in the related field.
Proficiency in Python with libraries such as NumPy, OpenCV, Scikit, Pandas, LangChain, and others.
Experience with machine learning frameworks including PyTorch, TensorFlow, Hugging Face, MXNet, Caffe, and similar.
Experience with network and messaging technologies (UDP, ZeroMQ, RESTful APIs, etc.).
Experience with C++, Java, JavaScript, TypeScript, HTML5, CSS, GO, and other compiled languages.
Experience with Natural Language Processing and Large Language Models.
Experience interfacing with databases (SQL Server, MySQL, PostgreSQL, MongoDB, etc.).
Experience with modern computer vision and image processing techniques.
Experience with high performance computing, embedded systems, edge computing, or AI deployment.
Experience with neural network architectures and their computational requirements.
Experience deploying neural networks on embedded or edge devices.
Experience with large scale software architecture and design, and transitioning prototype software to production.
Experience leading large technical teams and building AI agents or training and deploying ML models.
Experience developing applications on Windows and Linux.
Creative and resourceful problem solving abilities.
U.S. citizenship is required.

Technologies

Python, NumPy, OpenCV, Scikit, Pandas, LangChain
PyTorch, TensorFlow, Hugging Face, MXNet, Caffe
UDP, ZeroMQ, RESTful API
C++, Java, JavaScript, TypeScript, HTML5, CSS
GO
SQL Server, MySQL, PostgreSQL, MongoDB
Windows, Linux
Docker, Git, GitLab, GitHub, CI, CD

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

Additional Details

Experience Level: Experienced Professional
Business Unit: RMS
Type: Full-Time
Shift: First
Location: Moorestown, NJ (remote) and nationwide or OCONUS positions
Relocation: No
Clearance: None

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2mo ago

Machine Learning Engineer Graduate (Commerce& Content Service & Search Ads) - 2026 Start (BS/MS)

TikTok San Jose, CA

San Jose, CA

2mo ago Closed

$123k - $256k/yr Full time Ad Tech Deep Learning Graduate

This position is no longer accepting applications (closed Jun 23, 2026).

Job Description

TikTok is inviting a junior to mid level machine learning engineer track to join its Commerce and Content Service plus Search Ads teams in San Jose. This on-site role focuses on building large-scale ads systems and applying machine learning within monetization product and technology groups, with a 2026 start and onboarding by year-end. The position offers a compensation range of USD 122,574 to 256,000 per year and is based in San Jose, CA.

Responsibilities

Contribute to the development of a large-scale Ads system.
Deliver state-of-the-art applied machine learning projects.
Own key targeting components or strategies within the TikTok ads monetization ecosystem.
Collaborate with product and business teams to shape and align on the product vision.

Requirements

Candidate or soon-to-be graduate with a Bachelor’s or Master’s degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
Solid theoretical grounding in machine learning concepts and techniques with practical experience.
Excellent programming, debugging, and optimization skills in one or more general purpose languages, including Go, C/C++, and Python.
Experience with frameworks such as TensorFlow, PyTorch, or MXNet.
Ability to think critically and articulate solutions in a clear, concise manner.

Technologies

TensorFlow
PyTorch
MXNet
Go
C/C++
Python

Benefits

Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time, prorated at start with accruals increasing over tenure