warehouse engineer

Ryder System

<div>Job Seekers can review the Job Applicant Privacy Policy by clicking here (http://ryder.com/job-applicant-privacy-policy) .
Job Description :
We are immediately hiring a Warehouse Automation Engineer(REMOTE) in Houston, TX for our Supply Chain Solutions division. Apply here today to speak with a Recruiter about the position and perks of joining our Ryder Ever Better Team.
<ul><li>Pay Type: Exempt / Salary paid Twice Per Month</li>
<li>Annual Salary Pay: $110,000 - $120,000 per year based on experience</li>
<li>Schedule: 1st shift: Monday- Monday 8:00 am &ndash; 5:00 pm</li>
<li>Travel: 50%</li>
</ul>When Fortune 500 businesses and new startups need supply chain solutions, they look to our industry-leading logistics experts. At Ryder, there is more to being a supply chain professional than working on some of the nation&rsquo;s biggest brands. We make sure you are also getting the diverse experience, advancement opportunities, all from an industry-leading Fortune 500 company.
Here are a few of the many benefits when working with us:
<ul><li>Medical, Dental, Vision Benefits start at 30 Days</li>
<li>401 (K) Savings Plan with a company match</li>
<li>Discounted employee stock purchase options</li>
<li>Quality employee discounts that actually save you money on tools, cars, appliances, travel and more</li>
<li>All major holidays paid and Paid time off within your first year</li>
<li>Up to 12 weeks paid maternity leave</li>
</ul>This Warehouse Automation Engineering position can be responsible for he effort in identifying, evaluating, piloting and deploying new warehouse automation technologies, followed by the installation and deployment of new and optimization of warehouse automation technologies. This dedicated teams and capability differentiates Ryder by driving efficiencies to grow existing and win new business. This position will require a breadth of knowledge across many business types and automation technologies. Work directly with internal operations, solution design, continuous improvement, information technology, product teams and stakeholders to identify, select, and deploy new technology with automation partners. Consult with internal and external contacts to quickly demonstrate the value and feasibility of warehouse automation capabilities to create a competitive differentiator. Work directly with the customer and business owners to identify new ideas and collaborate across verticals, regions, and functional areas to evaluate, pilot, develop and implement warehouse automation solutions.
Essential Functions
<ul><li>RFP and New Business Support:&bull; Lead minor RFP project and support lead engineer on major RFP projects by leading automation selection and validation on new business sale projects by identifying potential automation technologies.&bull; Build ROI and justification based upon multiple criteria in order to select the optimal solution design&bull; Support build of presentation with Lead Automation Solutions Engineer</li>
<li>SOW (Scope of Work) Contractual Validation:&bull;Support automation project lead on identifying gaps in vendor FSD/SOW using the FSD Checklist process</li>
<li>Design Validation:&bull; Provide input on automation solution designs to ensure that key items are considered for implementation and ongoing operational performance&bull; Review design options for clearance issues, power requirements, cost effeictiveness and SLA targets.</li>
<li>Automation Procurement:&bull; Help lead build collateral for vendor tech review request and requests for quotes.&bull; Review design options for various vendors and solutions</li>
<li>Implementation Project Management:&bull; Some Project Management of smaller projects, including updating of Punch List, Project Plan&bull; Track milestones and requirements for implementation of projects</li>
<li>Implementation Support: &bull; Attend implementation status calls when needed. &bull; Verify and prioritize optimal on-stie support is utilized on all projects &bull; Ensure communication to vendor and on-site staff and handle escalation events. &bull; Coordiante support for onsite team for post-go live hypercare . &bull; Support on-site Solution Acceptance Test (SAT) testing plan &bull; Support tracking of Punch List after go-live for Uptime items</li>
<li>Data Analytics:&bull; Profile data from dashboard and systems to support system optimization projects&bull; Perform data analysis on reports technology controls systems and WMS/WES</li>
<li>Implementation Commissioning and Solution Validation:&bull; Support Solutions Acceptance Testing (SAT )testing plan&bull; Support tracking of Punch List</li>
<li>Strategy and Success Measurements:&bull; Review team strategy with manager to set personal goals</li>
<li>Financial Responsibilities:&bull; Validate spend with manager&bull; Support Project Leads on tracking project budget</li>
<li>Automation Troubleshooting:&bull; Partner with vendor to resolve Priority 1-5 tickets related to down/degregated performance with site automation&bull; Join on P1/P1 Resolutions calls</li>
</ul>Additional Responsibilities
<ul><li>Support vendor communication for minor projects.</li>
<li>Develops pilot activities and the hypothesis to be tested. Defines the proof of concept, formalizes the team, identifies a pilot location, obtains approvals, evaluates vendors and determines a pilot timeline. Deploys acceptable pilots to quickly evaluate business fit &amp; operational feasibility. These results will help feed the solution design team to include proven technologies into new business proposals. Evaluate, pilot and deploy new warehouse automation technologies.</li>
<li>Validation of new technology and automation will be supported by this role through Proof of Concept implementations. These POC implementations will be driven by the automation team, as they will also coordinate the value-justification of the project with Senior Management and the cross-functional team involved.</li>
<li>Performs other duties as assigned.</li>
</ul>Skills and Abilities
<ul><li>Driven to help organizations innovate with new warehouse automation capabilities or technologies., Required</li>
<li>Strong planning, time management, collaboration, decision making, organization and presentation skills, Required</li>
<li>High degree of comfort and ease with ambiguity and uncertainty., Required</li>
<li>Ability to create and maintain professional relationships within all levels of the organization (peers, work groups, customers, supervisors)., Required</li>
<li>Ability to work independently and as a member of a team., Required</li>
<li>Ability to work independently and as a member of a team., Required</li>
<li>Passion for understanding clients and internal customer's vision and business goals., Required</li>
<li>Ability to champion ambiguous scenarios and challenges., Required</li>
<li>Natural sense of leadership and ownership - in research, pilot and thought leadership activity., Required</li>
<li>Problem-solver, curious, hands-on mentality., Required</li>
<li>Act as a change agent in adopting warehouse automation technologies to deliver significant operational improvement across the organization and to coach business owners and functional leads in the deployment of these new technologies., Required</li>
<li>Demonstrated success in assessing, developing and deploying new offerings or incremental enhancement., Required</li>
</ul>Qualifications
<ul><li>Bachelor's Degree in Industrial Engineering, Mechanical Engineering or related field of study, Required</li>
<li>Master's Degree in Industrial Engineering, Mechanical Engineering or related field of study, Preferred</li>
<li>3 years or more in 3 years or more experience in warehouse automation, material handling technologies, industrial engineering or warehouse systems integration., Preferred</li>
<li>2 years or more in Demonstrated experience in warehouse automation, Preferred</li>
<li>2 years or more in Experience in warehouse automation that may would preferable include some of the following, sortation conveyor, goods-to-person, autonomous vehicles/robots, ASRS&rsquo;s, Required</li>
<li>Automation, Management Consulting, Physical &amp; Process Robotic experience. Beginner, Required</li>
<li>Knowledge of Warehouse Management operations, data analytics, Industrial Engineering, warehouse types (ambient, temp control) and Lean methods. Beginner, Required</li>
<li>Knowledge of all available material handling equipment and automation types such as: forklift applications, racking designs, packaging devices and automation design. Intermediate, Required</li>
<li>Warehouse Design Tools i.e.; CAD, slotting, MOST, simulation, WMS, Labor Mgt. Network Design Tools a plus (e.g., Llamasoft). Data Visualization Software (e.g., Tableau, Power BI) a plus. Beginner, Required</li>
<li>Industrial or Mechanical Engineering or with equivalent warehouse operational knowledge. Beginner, Required</li>
<li>Experienced in financial business case analysis to help support targeted return on investment. Intermediate, Preferred</li>
</ul>Travel
<ul><li>Yes, 50%</li>
</ul>We want YOU to join our family made up of Proud Women and Men in Logistics who work alongside Military Reserve and Veterans we hire every day!
Apply Here with Ryder Today
Click here to see all Opportunities at Ryder: https://ryder.com/careers
EEO/AA/Female/Minority/Disabled/Veteran
\#li-post #indexempt #LI-GM #ryder #automation
Job Category: Engineering
Compensation Information :
The compensation offered to a candidate may be influenced by a variety of factors, including the candidate&rsquo;s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Compensation ranges for the position are below:
Pay Type :
Salaried
Minimum Pay Range:
$110,000
Maximum Pay Range:
$120,000
Benefits Information:
For all Full-time positions only : Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan.
Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace.
All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.
Important Note :
Some positions require additional screening that may include employment and education verification; motor vehicle records check and a road test; and/or badging or background requirements of the customer to which you are assigned.
Security Notice for Applicants:
Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers .
Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com or 800-793-3754.
Current Employees :
If you are a current employee at Ryder, please click here (http://wd5.myworkday.com/ryder/d/task/1422$3.htmld) to log in to Workday to apply using the internal application process.
Job Seekers can review the Job Applicant Privacy Policy by clicking here (http://ryder.com/job-applicant-privacy-policy) .
\#wd</div>

Warehouse Automation Engineer

Better Debt Solutions

<div>Better Companies is a multi-brand financial services organization providing debt relief, tax support, and business funding solutions. We're strengthening our operations, refining our systems, and building a more cohesive, efficient experience across our brands. Our approach is grounded in transparency, strong operational foundations, and well-structured processes that support reliable execution and scalable growth.

We are seeking a Data Engineer with Microsoft Fabric experience to help design and build 
scalable data pipelines, Lakehouse architecture, and analytics-ready datasets within our 
enterprise data platform.

Responsibilities<div> 
<ul><li>Build and optimize data pipelines and Lakehouse architecture using Microsoft Fabric and</li></ul>
Azure 
<ul><li>Develop Python, PySpark, and SQL transformations for large-scale data processing</li><li>Design dimensional models and analytics-ready datasets</li><li>Support AI/ML workflows using Azure OpenAI and Azure Machine Learning</li><li>Collaborate with analytics teams, business stakeholders, and vendor partners to deliver</li></ul>
reliable data solutions</div>

Tech Stack 
Microsoft Fabric, OneLake, Azure Data Factory, Python, PySpark, SQL, Delta Lake, Azure 
OpenAI, Azure Machine Learning 

Qualifications<div> 
<ul><li>3&ndash;5 years of experience in data engineering or data platforms</li><li>Experience with Microsoft Fabric and Azure data services</li><li>Strong Python, PySpark, and SQL skills</li><li>Experience building ETL/ELT pipelines and enterprise data warehouse environments</li></ul></div> 


Compensation Range: $120,000- $155,000 base salary depending on experience, plus benefits.</div>

Data Warehouse Engineer – Microsoft Fabric / Azure

Morgan Stanley

<div>In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Data &amp; Analytics Engineering position at the Associate/Director level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
Interested in joining a team that&rsquo;s eager to create, innovate and make an impact on the world? Read on.
Wealth Management and Investment Management Technology (WMIMT) is responsible for the design, development, delivery, and support of the technical platform behind the products and services used by the Business. Morgan Stanley Wealth Management (WM) is a product of the acquisition of Smith Barney from Citigroup, which was completed in June '13. Its core client base is individual investors, small- to medium-size businesses and institutions, and high net worth families and individuals.
 
 
Position Overview:
 
 
AIDT under Management Technology provides consistent, trusted, and integrated business information across all platforms and delivery channels within Morgan Stanley Wealth Management (MSWM) businesses. AIDT areas of expertise include but are not limited to Enterprise Data Warehouse (EDW) and Datalake (DL), cross-business-unit Information Management, Business Intelligence and more. AIDT team synthesizes and provisions a multitude of business-critical metrics and underlying detailed information in all Core areas of MSWM. Examples of essential data domains and metrics include Assets, Revenue, Account Demographics, Financial Advisor (FA) information, Securities and Cash Transactions, and so on.
 
 
As an integral part of AIDT, Data Integration &amp; Delivery team is tasked with providing insightful and accurate business intelligence on Account Performance metrics, Investment Insights, Trade Surveillance, Anti-Money Laundering and many other aspects of Wealth Management business.
The role is for a data engineer/ETL developer and requires active participation with leadership teams, business units and technology groups across the project lifecycle. Specific assignments will depend on the size and complexity of the project
What you'll do in the role:
<ul><li>As an ETL / Hadoop developer, the candidate will design and develop Informatica ETL and Hadoop applications.
</li><li>This is an individual contributor role.
</li><li>Undertaking end-to-end project delivery (from inception to post-implementation support), including review and finalization of business requirements, creation of
 
functional specifications and/or system designs, and ensuring that end-solution meets business needs and expectations.
</li><li>Development of new transformation processes to load data from source to target, or performance tuning of existing ETL code (mappings, sessions) and Hadoop Platform.
</li><li>Analysis of existing designs and interfaces and applying design modifications or enhancements
</li><li>Coding and documenting data processing scripts and stored procedures.
</li><li>Own the release of code into production using firm CICD tools and process
</li><li>Providing business insights and analysis findings for ad-hoc data requests
</li><li>Unit Testing software components and complete solutions (including debugging and troubleshooting) and preparing migration documentation.
</li><li>Providing reporting-line transparency through periodic updates on project or task status.
</li></ul>What you'll bring to the role:
<ul><li>6+ years of experience with the technical analysis and design, development, and implementation of data warehousing / Data Lake solutions.
</li><li>6+ years of Strong SQL programming and stored procedure development skills.
</li><li>6+ years of experience developing in Informatica data management in the cloud or Informatica Power Center and DataStage.
</li><li>4+ years in Python, Control M orchestration and Bit Bucket and Jenkins and CICD
</li><li>4+ years in Hive/Impala/Spark, Unix, Python,
</li><li>Python scripting
</li><li>4+ years relational database design in DB2, Snowflake and Teradata.
</li><li>4+ years in Strong UNIX Shell scripting experience to support data warehousing solutions.
</li><li>Some experience in AWS Glue and S3
</li><li>Process oriented, focused on standardization, streamlining, and implementation of best practices delivery approach.
</li><li>Excellent problem solving and analytical skills.
</li><li>Excellent verbal and written communication skills.
</li><li>Experience in optimizing large data loads.
</li><li>Should be a good collaborator
</li><li>Bachelor's/master's degree in engineering, preferably Computer Science/Engineering
</li></ul>Secondary Skills / Desired skills.
<ul><li>Exposure to an Agile Development environment would be a plus.
</li><li>Knowledge about TWS Scheduler would an added advantage.
</li><li>Strong understanding of Data warehousing domain.
</li><li>Ability to architect an ETL solution and data conversion strategy.
</li><li>Good understanding of dimensional modelling;
</li></ul>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients &ndash; helping them reach their goals. We do it in a way that&rsquo;s differentiated &ndash; and we&rsquo;ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).</div>

Data Warehouse Engineer / ETL Developer - Associate/Director

South Texas Radiology Group, P.A.

Job Title: Data Engineer Reports To: Chief Financial Officer Location: San Antonio, Texas (on site) FLSA Status: Exempt Summary of Position: The Data Engineer is responsible for collecting, managing, and converting data into accessible information for business teams and analysts. Creates and maintains data pipelines that transfer data from various sources to a central data warehouse, and supports business functions that require analyzing this data. Performs data integrity review in conjunction with end users. Job Responsibilities: Employee must adhere to STRG Policies and Procedures at all times Gathers information for moderately complex processes, analyzes data and trends, and identifies root causes. Create and maintain the infrastructure for a centralized data store in the form of a data warehouse, including selecting the best platform(s) for each component of the data warehouse; import data from various agency EHRs and web-based sources using ELT/ETL best practices. Work with internal managers and external partners to set up data pipelines to the data warehouse for reporting and other business functions; ensure data integrity of records for data sources including integrated information systems. Works with the President related to reporting needs for physician productivity and other measurables. Works with the Vice President, as needed, related to physician scheduling &amp; reporting needs. Provide support for creation of enterprise reports using warehouse data, including the creation of a data dictionary. Maintain a data normalization strategy for new data coming into the data warehouse; create &amp; maintain a semantic layer for developing report KPIs and business metrics. Assists with data mining and analytical capability to support decision making and corporate strategy set by the executive team, including developing and maintaining a data management strategy that covers data acquisition and archive recovery. Provide support for business teams interacting with the data warehouse and/or data sources. Maintain best practices for continuous integration and continuous delivery (CI/CD) of accurate and accessible business data, and providing transparency of development processes using Agile project management principles. Review &amp; audit reports, data sources and data streams for accuracy and completeness. Manage and deploy BI tools for use by various company teams. Support departmental initiatives as requested. Assist with alerting and educating staff on EHR changes. Assist with system administrative set-up as requested. Maintain strict confidentiality of patient protected health information as mandated by STRG procedures and HIPAA Privacy, Security, HITECH, and Transactions and Code Sets regulations Perform other duties as required Supervisory Responsibilities: None Experience / Skill Requirements: Strong attention to detail and ability to multitask multiple priorities Advanced knowledge and experience in Excel required Knowledge of analytical and BI tools (ie MS Excel, Tableau, PowerBI) Strong programming skills (Python, SQL, shell/bash) and expertise in database technologies, ELT/ETL processes, REST APIs, data warehousing, and workflow management tools Experience querying and maintaining relational databases (SQL Server, Postgres) and version controlling (Github) Knowledge of containerization technologies, cloud development platforms such as GCP, and cloud-native applications Cursory understanding of healthcare terminology, including CPT, RVU and charge terminology. Knowledge of revenue cycle systems and mapping logic within billing tables 4 years of experience in end-to-end analysis and/or operations experience, including: requirement gathering and documentation, operational planning and forecasting, data analytics or current/future state analysis, in direct support of business planning initiatives. Education: Bachelor&rsquo;s degree in Computer Science, Data Analytics, Management Information Systems or Business Administration; supplemented with one or more courses in current technology. Experience in lieu of formal education may be substituted. Attendance / Work Schedule: Maintaining and satisfying minimum attendance requirements is an essential function of this position, including working all full-time regular hours as established for this position and scheduled or emergency overtime. Full-time regular hours are defined as Monday through Friday, with after-hours or weekends as required. All employees in this job classification are required to satisfy this requirement. This job classification does not include &quot;light duty&quot; work or allow unpredictable or unrestricted absences.

Data Engineer

Inland Empire Health Plan

<div>Overview:
<div>
What you can expect!</div><div> 
</div><div>Find joy in serving others with IEHP! We welcome you to join us in &ldquo;healing and inspiring the human spirit&rdquo; and to pivot from a &ldquo;job&rdquo; opportunity to an authentic experience!</div><div></div><div> 
The Data Engineer II assists in the implementation of methods to improve data reliability and quality. This role is responsible for combining raw information from different sources to create consistent and machine-readable formats. The Data Engineer II must also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. The Data Engineer II will focus on data accessibility, which will enable the organization to utilize data for performance evaluation and optimization. The data Engineer II is also responsible for managing the entire back-end development life cycle for the company's enterprise data warehouse. In this role the incumbent will handle tasks associated with the implementation of ETL procedures, building warehouse databases, database performance management, and dimensional modeling and design of the table structures.</div><div></div><div> 
Commitment to Quality: The IEHP Team is committed to incorporate IEHP&rsquo;s Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.</div>
Additional Benefits:
<div>
Perks</div><div></div><div> 
IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.</div><ul><li>
Competitive salary.</li><li>
Hybrid schedule.
</li><li>State of the art fitness center on-site.</li><li>
Medical Insurance with Dental and Vision.</li><li>
Life, short-term, and long-term disability options</li><li>
Career advancement opportunities and professional development.</li><li>
Wellness programs that promote a healthy work-life balance.
</li><li>Flexible Spending Account &ndash; Health Care/Childcare</li><li>
CalPERS retirement</li><li>
457(b) option with a contribution match</li><li>
Paid life insurance for employees</li><li>
Pet care insurance</li></ul>
Key Responsibilities:
<ul><li>Design and develop data warehouse Extraction, Transformation and Loading (ETL) solutions using Microsoft SQL Server Integration Services (SSIS), Azure Data Factory, Synapse Analytics, Az Data Bricks, PySpark ETL.
</li><li>Develop and implement data collection processes in conjunction with the data warehouse. Source data from legacy systems supporting a centralized data warehouse and reporting platform.</li><li>
Develop technical solutions to meet the requirements for Data Warehouse, BI &amp; Analytics. Work with Informaticists and Analysts to translate analytic requirements into technical solutions.</li><li>
Collaborate and contribute to data integration strategies and visions. Create and maintain optimal data pipeline architectures based on micro services based on platform and application requirements.</li><li>
Work closely with the Data Engineering team, BI &amp; Analytics team, Data Warehouse Architect, and Data Systems Architect to design data and analytics solutions to increase the usability, completeness, and accuracy of enterprise data.</li><li>
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.</li><li>
Analyze user requirements and translate user requirements into database requirements and implement them in database code.</li><li>
Provide detailed analysis of data issues, data mapping, and the process for automation and enhancement of data quality. Assemble large, complex data sets that meet functional / non-functional business requirements.</li><li>
Identify, design, and implement process improvements: automating manual pipeline processes, optimizing data ingestion and consumption, re-designing infrastructure for greater scalability, micro services, and others as applicable.</li><li>
Create, maintain, and optimize SQL queries and routines. Analyze potential data quality issues to determine the root cause and create effective solutions.</li><li>
Develop, adopt, and enforce Data Warehouse and ETL standards and architecture. Monitor and support ETL processes ensuring integrity and proper integration of all data sources.</li><li>
Facilitate problem management and communication among data architects, managers, informaticists and analysts.</li><li>
Perform development activities such as source to target mapping validations, identify, document and execute unit test cases/scripts, peer and lead code reviews per code review checklist and document test and review results.</li><li>
Provide ongoing proactive technical support for ETL and data warehouse system to ensure business continuity.</li><li>
Perform any other duties as required to ensure Health Plan operations and department business needs are successful.</li></ul>
Qualifications:

Education &amp; Requirements
<ul><li>Four (4) years of relevant work experience. Experience and knowledge in logical, rational, dimensional, and physical data modeling. Background in database systems along with a strong knowledge of SQL. Experience with Orchestration tools, Azure DevOps, and CI/CD. Intermediate experience with the following tools and technologies:<ul><li>
Azure Data Catalogue / Purview</li><li>
Azure Cloud</li><li>
Databricks</li><li>
Power BI Dataflows</li><li>
Power Query</li><li>
Azure Cosmos</li><li>
Azure Monitor</li><li>
PowerShell</li><li>
Python</li></ul></li><li>
Development experience using PySpark, Spark, Hadoop, Kubernetes, and RDMIS is highly desired</li><li>
Bachelor's degree from an accredited institution required<ul><li>
Master&rsquo;s degree from an accredited institution preferred</li><li>
Azure Data Engineering Certification is preferred</li></ul></li></ul> 
Key Qualifications<ul><li>
Multi-server environment knowledge such as linked servers, data replication, backup/restore with MS SQL Server 2008+</li><li>
Knowledge of applicable data privacy practices and laws</li><li>
Highly skilled in developing and optimizing T-SQL (DDL, DML, DCL) queries, stored procedures, functions, and views for various applications that involve numerous database tables and complex business logic</li><li>
Good written and oral communication skills</li><li>
Strong technical documentation skills</li><li>
Good interpersonal skills</li><li>
Highly self-motivated and directed</li><li>
Keen attention to detail</li><li>
Proven analytical and problem-solving abilities</li><li>
Ability to effectively prioritize and execute tasks in a high-pressure environment</li></ul> 
Start your journey towards a thriving future with IEHP and apply TODAY!
Work Model Location:

This position is on a hybrid work schedule. (Monday &amp; Friday - remote, Tuesday &ndash; Thursday onsite in Rancho Cucamonga, CA.)
Pay Range: USD $104,041.60 - USD $137,841.60 /Yr.</div>

Data Engineer II

Uline

<div><div>Senior Data Engineer
Pay from $96,000 to $148,000 per year
2200 S. Lakeside Drive, Waukegan, IL 60085
Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you&rsquo;ll play a pivotal role in constructing and maintaining our new, cutting-edge data collection systems and analytics platform.
Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on.
Position Responsibilities
</div><div><div><div><div><div><ul><li>Partner with business users to design and build BI and data warehouse solutions.
</li><li>Engage with project leads, analysts and business users to implement and test data warehouse applications.
</li><li>Build complex data engineering processes to support business analytics and reporting.
</li><li>Perform unit, performance and regression testing on ETL mappings.
</li><li>Follow coding standards, review code and enhance quality practices.
</li><li>Oversee production deployments and coordinate with other teams to execute.
</li></ul>Minimum Requirements
<ul><li>Bachelor's degree in information technology or related field.
</li><li>8+ years in data engineering.
</li><li>5+ years of hands-on experience developing ETL using Informatica PowerCenter.
</li><li>Proven experience writing complex T-SQL and DB performance tuning.
</li><li>Strong troubleshooting skills to resolve data issues.
</li><li>Knowledge of SSIS, Python, Azure, Snowflake or Databricks is a plus.
</li><li>Uline does not participate in the H1-B lottery.
</li></ul>Benefits
<ul><li>Complete health insurance coverage and 401(k) with 6% employer match that starts day one!
</li><li>Multiple bonus programs.
</li><li>Paid holidays and generous paid time off.
</li><li>Tuition Assistance Program that covers professional continuing education.
</li></ul>Employee Perks
<ul><li>Caf&eacute; featuring affordable daily meal options from local restaurants.
</li><li>On-site fitness center and beautifully maintained walking paths.
</li><li>Best-in-class, clean, modern facilities.
</li></ul>About Uline
Uline, a family-owned company, is North America&rsquo;s leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations.
Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site.
EEO/AA Employer/Vet/Disabled
#LI-EP1
#CORP
(#IN-PPITL1)
#ZR-HQIT
</div></div></div></div></div>Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore https://www.uline.jobs/#working-here_blankUline.jobs to learn more!</div>

Senior Data Engineer

ATinfo Technology Inc

NO C2C ALLOWED. LOCAL TO MICHIGAN CANDIDAES ONLY.We are seeking a skilled Azure Developer (Data Engineer) with a strong data engineering background to support a data warehouse migration initiative. This role involves balancing current-state production support with building modern Azure-based data solutions as part of a long-term migration strategy.Key ResponsibilitiesAzure Data Engineering (Primary Focus):<ul><li>Develop and support Azure-based data engineering solutions for data warehouse migration</li><li>Contribute to data platform development using Azure services such as Databricks and Data Factory</li><li>Work across the Azure data stack to support end-to-end data workflows</li></ul>Current Environment Support (Initial Ramp-Up):<ul><li>Support existing production systems and enhancements in a SQL-heavy environment</li><li>Work with SSIS workflows and existing tools during migration planning phase</li><li>Ensure smooth &ldquo;run the business&rdquo; operations while transition is underway</li></ul>Required Skills<ul><li>Strong hands-on experience with Azure data engineering (real project delivery required)</li><li>Expertise in:</li><li>Azure Databricks</li><li>Azure Data Factory</li><li>Python</li><li>Solid understanding of end-to-end data engineering in Azure</li><li>Experience working on at least one data warehouse project</li><li>Strong understanding of data warehousing concepts vs OLTP systems</li><li>Ability to work independently with minimal supervision</li></ul>Legacy Environment Requirements (Mandatory)<ul><li>Willingness to work in a legacy environment for 3&ndash;4 months during initial ramp-up</li><li>Experience with:</li><li>SQL Server (strong query writing skills)</li><li>Stored Procedures (basic proficiency)</li><li>SSIS (basic understanding of data flows, sources, and targets)</li><li>Comfortable working with existing tools (e.g., SQL-based systems and workflows)</li></ul>Nice to Have<ul><li>Experience with Microsoft Fabric</li></ul>Pay: $50.00 per hourWork Location: Hybrid remote in Novi, MI 48375

Azure Data Engineer(Local to MI)

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