data engineering specialist

McKesson

<div>McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve &ndash; we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow&rsquo;s health today, we want to hear from you.
CoverMyMeds&rsquo; Data &amp; Analytics is looking for a Specialist, Data Engineering to join our Data Engineering team. Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality, repeatable and scalable data solutions. Together with our various business units, the work our Data Engineering team does ultimately helps get more people the medicine they need to live healthier lives.
What You&rsquo;ll Do
The Specialist, Data Engineering will support and expand the data platforms that power our commercial data products and analytics offerings. This role will contribute to the design and delivery of scalable, reusable data assets that enable both internal teams and external partners to derive value from our data.
You will work across proprietary and third-party data sources to build well-structured, high-quality datasets, prototypes, and sample data assets that support commercialization efforts. This role partners closely with Data Systems Analysts, Product, and Analytics teams to translate evolving business concepts into tangible, testable data solutions.
Position Description<ul><li>
Design and develop data solutions that integrate proprietary and third-party data sources to support commercial data products and proof-of-concept initiatives.</li><li>
Build and optimize data ingestion and transformation pipelines that enable rapid iteration while maintaining quality and governance standards.</li><li>
Work with structured and unstructured data to prepare enhanced, sample, or prototype datasets for internal stakeholders and potential external customers.</li><li>
Write SQL and/or use cloud-based tools such as Snowflake or Databricks to cleanse, standardize, and enrich data aligned to defined business use cases.</li><li>
Collaborate with Product, Analytics, and external-facing teams to translate commercialization objectives into scalable data assets.</li><li>
Contribute to conceptual data models and reusable data patterns that support future data product expansion.</li><li>
Partner with application and platform teams to understand upstream data flows and design appropriate ingestion strategies.</li><li><ul><li>Support monitoring of data quality, performance, and reliability for commercialized data assets.</li></ul></li></ul>
Priority will be given to candidates who reside in the Columbus, OH metropolitan area.
We are unable to provide sponsorship for this role presently, or in the future.
Minimum Qualifications
Degree or equivalent and typically requires 4+ years of relevant experience 
Education
Bachelor&rsquo;s degree in Computer Science, Information Systems, or related field
Critical Skills<ul><li>
4+ years of experience in data engineering, analytics engineering, or modern data platform environments</li><li>
4+ years hands-on experience with cloud data technologies such as Snowflake, Databricks, or similar platforms</li><li>
Strong (4+ years) SQL skills and experience transforming data for analytical, reporting, or product-oriented use cases</li><li>
Experience integrating data from multiple internal and third-party systems</li><li>
Experience working with structured and semi-structured data in batch and/or streaming environments</li><li>
Working knowledge of data modeling principles and data quality practices</li><li>
Experience supporting analytics, reporting, or externally facing data use cases</li></ul>
Preferred Skills<ul><li>
Experience with or interest in data commercialization, data products, or externally facing analytics solutions</li><li>
Experience building prototype or proof-of-concept data assets, or interest in working in rapid iteration environments</li><li>
Comfort working with evolving requirements and ambiguity</li><li>
Ability to translate loosely defined business ideas into structured data outputs</li><li>
Strong collaboration skills across product, analytics, and technical teams</li><li>
Ownership mindset with a bias toward execution</li></ul>
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
$105,500 - $175,900
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson&rsquo;s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: 
 
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. 
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
McKesson is an Equal Opportunity Employer 
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson&rsquo;s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. 
McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to Disability_Accommodation@McKesson.com.
Join us at McKesson!</div>

Data Engineer

Pyramid Consulting, Inc

<div>
 
 Immediate need for a talented
 
 Data Engineer
 
 . This is a
 
 12+ Months Contract
 
 opportunity with long-term potential and is located in
 
 Merrimack, NH / Westlake, TX (Hybrid)
 
 . Please review the job description below and contact me ASAP if you are interested.
 
 
 
 
 
 
 Job ID: 26-06859
 
 
 
 
 
 
 
 Pay Range: $67 - $72/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
 
 
 
 
 
 
 
 Key Requirements and Technology Experience:
 
 
 
 
 
 <ul>
 <li>
 
 Skills-
 
 
 Azure Data Factory/ETL
 
 </li>
 <li>
 
 Data Modeling
 
 </li>
 <li>
 
 Basic PLSQL and SQL knowledge - perform analysis
 
 </li>
 <li>
 
 Data integration platforms
 
 </li>
 <li>
 Power automate through SAAS
 </li>
 <li>
 Bachelors or Masters in a technology related field (e.g. Computer Science, Engineering etc.) required.
 </li>
 <li>
 6+ years of related experience in data engineering, analysis, data warehouses, data lakes. Specialist understanding and experience of methodologies like data warehousing, data visualization and data integration.
 </li>
 <li>
 Strong experience with relational database technologies (Oracle SQL &amp; PL/SQL or similar RDBMS), preferably Snowflake or other Cloud Data warehousing services.
 </li>
 <li>
 Strong expertise in all aspects of data movement technologies (ETL/ELT) and experience with schedulers, specifically with Azure Data Factory.
 </li>
 <li>
 Strong expertise with building and managing data pipelines in Azure Data Factory; using various Data Sources and APIs.
 </li>
 <li>
 Experience in Microsoft power platform and developing power automate flows for data integration would be advantageous.
 </li>
 <li>
 Proven experience in understanding multi-functional enterprise data, navigating between business analytic needs and data, and being able to work hand-in-hand with other members of technical teams to complete product roadmaps to enable new insights with our data.
 </li>
 <li>
 Experience with DevOps, Continuous Integration and Continuous Delivery. Developing and deploying pipelines. Deploying within a cloud native infrastructure would be advantageous.
 </li>
 <li>
 Able to work collaboratively with a geographically diverse team.
 </li>
 <li>
 Proven track record of working in collaborative teams to deliver high quality data solutions in a multi-developer agile environment following design &amp; coding best practices.
 </li>
 <li>
 Outstanding SQL skills and experience performing deep data analysis on multiple database platforms.
 </li>
 <li>
 Knowledge and expertise of data modelling techniques and best practices (Relational, Dimensional), plus any prior experience with data modelling tools (eg. PowerDesigner).
 </li>
 <li>
 Experience in working with AWS, MS Azure or other cloud providers.
 </li>
 <li>
 Experience with AWS services such as Lambda or S3, AWS Certification.
 </li>
 <li>
 Experience in Data Architecture (Database design, performance optimization) would be advantageous.
 </li>
 <li>
 Strong Focus on resiliency &amp; reliability.
 </li>
 <li>
 You have excellent written and oral communication skills.
 </li>
 </ul>
 
 
 
 
 Our client is a leading
 
 Financial Industry,
 
 and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
 
 
 
 
 
 Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 
 
 
 
 
 
 By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.
 
 
 
 
</div>

Data Engineer, PAR

Apple

The Find My team is dedicated to building a seamless, private, and secure experience for users to locate their devices, personal items, and share location with friends and family. We're a group of highly motivated engineers, designers, and product managers who are passionate about creating a simple and reliable experience for hundreds of millions of users worldwide. We thrive in a fast paced environment where team members are often encouraged to wear multiple hats and contribute to various aspects of the product lifecycle. Innovation and creative problem-solving are at the heart of our team, and we constantly explore new approaches to deliver groundbreaking solutions while collaborating with diverse disciplines across the company, including hardware, software, and privacy, to deliver an exceptional user experience. 
 
Description 
 
As a Data Engineer on our team, you'll thrive in a fast-paced, startup-like environment, collaborating closely with a passionate cross-functional team to transform complex data into insights that power our shared mission. You'll be instrumental in designing and building the analytics pipelines behind exciting new features, and your contributions will directly impact millions of users. We embrace continuous iteration and improvement, so you'll have the opportunity to learn, grow, and refine your skills as we build the future of Find My. 
 
You will translate analytics needs from Data Science, Engineering, Product, and Program Management into high-quality, well-modeled data artifacts. Developing methods to monitor data quality and balancing competing priorities will be key to your success. You will dive deep into complex data engineering problems to ensure our solutions are extensible, reliable, and ready to deliver at scale. 
 
Preferred Qualifications 
 
Experience with open table formats such as Delta Lake or Apache Iceberg 
 
Experience with Spark on Kubernetes 
 
Experience with data quality monitoring and anomaly detection 
 
Familiarity with BI/visualization tools (e.g., Superset) 
 
Familiarity with privacy-preserving data engineering techniques 
 
Experience with machine learning applied to the domain of data engineering and analytics 
 
Minimum Qualifications 
 
BS in Computer Science, Data Engineering, or related field 
 
3+ years of experience working with large data sets and dimensional data modeling 
 
3+ years of experience with data processing using Spark and SparkSQL 
 
Familiarity with data pipeline orchestration tools 
 
Proficiency in Java or Scala, and experience with Python 
 
Experience with Amazon Web Services, GCP, or Azure 
 
Strong communication and collaboration skills 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Data Engineer, Find My

eTeam

<div>
 
 
 Title: Data Engineer
 
 
 
 Location:
 
 
 Cupertino, CA/ Austin, CA
 
 Duration: 6 Months
 
 
 
 The Data Foundations Engineer designs and scales modern data architectures powering Wallet, Payments, and Commerceproducts. This role focuses on building high-performance data pipelines and enabling analytics and ML use cases, with strongfundamentals in data modeling and scalable systems.
 
 
 
 KEY RESPONSIBILITIES:
 
 <ul>
 <li>
 Data Engineering &amp; Architecture Design and implement scalable batch and near-real-time data pipelines. Develop ETL/ELT workflows optimized for performance and cost. Implement dimensional data models and standardize business metrics.
 </li>
 <li>
 Instrument APIs and user journeys to capture behavioral and transactional data.
 </li>
 <li>
 Data Governance &amp; Quality -
 </li>
 <li>
 Ensure data integrity, governance, privacy, and compliance.
 </li>
 <li>
 Maintain reliability and availability of mission-critical systems.
 </li>
 </ul>
 
 
 REQUIRED QUALIFICATIONS
 
 <ul>
 <li>
 6 years of experience in data engineering for analytics or ML systems.
 </li>
 <li>
 Strong SQL proficiency.
 </li>
 <li>
 Experience in Python, Scala, or Java.
 </li>
 <li>
 Hands-on experience with Spark, Kafka, and Airflow (or similar).
 </li>
 <li>
 Strong understanding of data modeling and lakehouse architectures (e.g., Iceberg). Experience with AWS, Azure, or GCP.
 </li>
 <li>
 Comfortable participating in rotating on-call.
 </li>
 <li>
 Experience with Snowflake, Databricks, Trino, OLAP/NRT systems, Superset or Tableau. Familiarity with CI/CD, data observability, infrastructure-as-code.
 </li>
 <li>
 Exposure to MLOps and GenAI/RAG pipelines.
 </li>
 <li>
 Hands-on experience with LLMs (prompt engineering, fine-tuning, RAG).
 </li>
 <li>
 Experience in FinTech, Wallet, or Payments domain.
 </li>
 </ul>
</div>

<div>
 
 Summary
 
 
 
 The Find My team is dedicated to building a seamless, private, and secure experience for users to locate their devices, personal items, and share location with friends and family. We're a group of highly motivated engineers, designers, and product managers who are passionate about creating a simple and reliable experience for hundreds of millions of users worldwide. We thrive in a fast paced environment where team members are often encouraged to wear multiple hats and contribute to various aspects of the product lifecycle. Innovation and creative problem-solving are at the heart of our team, and we constantly explore new approaches to deliver groundbreaking solutions while collaborating with diverse disciplines across the company, including hardware, software, and privacy, to deliver an exceptional user experience.
 
 
 
 Description
 
 
 
 As a Data Engineer on our team, you'll thrive in a fast-paced, startup-like environment, collaborating closely with a passionate cross-functional team to transform complex data into insights that power our shared mission. You'll be instrumental in designing and building the analytics pipelines behind exciting new features, and your contributions will directly impact millions of users. We embrace continuous iteration and improvement, so you'll have the opportunity to learn, grow, and refine your skills as we build the future of Find My.
 
 
 You will translate analytics needs from Data Science, Engineering, Product, and Program Management into high-quality, well-modeled data artifacts. Developing methods to monitor data quality and balancing competing priorities will be key to your success. You will dive deep into complex data engineering problems to ensure our solutions are extensible, reliable, and ready to deliver at scale.
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 BS in Computer Science, Data Engineering, or related field
 </li>
 <li>
 3+ years of experience working with large data sets and dimensional data modeling
 </li>
 <li>
 3+ years of experience with data processing using Spark and SparkSQL
 </li>
 <li>
 Familiarity with data pipeline orchestration tools
 </li>
 <li>
 Proficiency in Java or Scala, and experience with Python
 </li>
 <li>
 Experience with Amazon Web Services, GCP, or Azure
 </li>
 <li>
 Strong communication and collaboration skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with open table formats such as Delta Lake or Apache Iceberg
 </li>
 <li>
 Experience with Spark on Kubernetes
 </li>
 <li>
 Experience with data quality monitoring and anomaly detection
 </li>
 <li>
 Familiarity with BI/visualization tools (e.g., Superset)
 </li>
 <li>
 Familiarity with privacy-preserving data engineering techniques
 </li>
 <li>
 Experience with machine learning applied to the domain of data engineering and analytics
 
 
 </li>
 </ul>
 
 Pay &amp; Benefits
 
 
 
 At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
 
 
 Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses &mdash; including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
 
 
 Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
 
 
 Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
 
 
 Apple accepts applications to this posting on an ongoing basis.
 
 
</div>

Walmart

<div><h2 class="jobSectionHeader">Position Summary...</h2><h2 class="jobSectionHeader">
What you'll do...</h2>
About the team: Global Marketplace is Walmart&rsquo;s third‑party commerce platform, connecting sellers to millions of customers across categories while leveraging Walmart&rsquo;s scale, trust, and omni‑channel reach. Marketplace platforms enable third-party sellers, and internal teams to deliver seamless digital and physical commerce experiences, supported by Walmart Global Tech&rsquo;s data, platform, and AI capabilities. The Data Engineering organization within Walmart Global Tech AI and Data team builds and operates the platforms that make this possible&mdash;enabling real‑time decision‑making, personalizing seller focused applications, and the next generation of AI‑driven and agent‑enabled systems. We build with a people‑led, tech‑empowered mindset, focused on reliability, trust, and long‑term sustainability.
 
What you'll do:
<ul><li>Design, develop, and maintain scalable data pipelines and ETL processes to support business analytics and reporting needs.
</li><li>Collaborate with cross-functional teams to identify data requirements and translate them into efficient data models and architectures.
</li><li>Extract, transform, and integrate data from internal and external sources, ensuring data quality and consistency.
</li><li>Implement and optimize data storage solutions using cloud platforms and big data technologies such as Apache Spark and Kafka.
</li><li>Analyze complex data flows and system integrations to propose effective solutions and improvements.
</li><li>Develop, test, and deploy code to automate data processing and support data governance standards.
</li></ul> 
What you'll bring:
<ul><li>Extensive experience in data engineering, including data transformation, modeling, and ETL processes.
</li><li>Proficiency in SQL and programming languages such as Java, Python, or similar for code development and testing.
</li><li>Strong knowledge of big data technologies including Apache Spark and Apache Kafka.
</li><li>Understanding of data governance, data quality frameworks, and regulatory requirements related to data privacy and security.
</li><li>Ability to design and implement scalable data models and pipelines within cloud and big data environments.
</li><li>Experience supporting business analytics through effective data sourcing, integration, and validation techniques.
</li>Demonstrated capability to collaborate cross-functionally and communicate complex technical concepts clearly. 
<li>
</li></ul> 
 
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
 
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
 
For information about benefits and eligibility, see One.Walmart.
 
The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
 
<ul><li>Stock</li></ul>
ㅤ
ㅤ
ㅤ
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&lrm;<h2 class="jobSectionHeader">
Minimum Qualifications...</h2>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor&rsquo;s degree in Computer Science and 2 years' experience in software engineering or related field. Option 2: 4 years&rsquo; experience in 
software engineering or related field. Option 3: Master's degree in Computer Science.<h2 class="jobSectionHeader">
Preferred Qualifications...</h2>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data engineering, database engineering, business intelligence, or business analytics, Master&rsquo;s degree in Computer Science or related field and 2 years' experience in software engineering or related field, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<h2 class="jobSectionHeader">
Primary Location...</h2>
640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

Data Engineer III

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