senior database engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader"><b>Job Description: Senior Data Engineer (SSIS / Classic Stack)</b></h2><h3 class="jobSectionHeader"><b>
Location:</b><b> Riyadh, KSA</b></h3><h3 class="jobSectionHeader"><b>
Department:</b><b> Data &amp; Analytics</b></h3><h3 class="jobSectionHeader"><b>
Experience:</b><b> 6+ Years</b><br>
<br>
<b>Note : This position is for the candidates who are based in Saudi Arabia Only.</b></h3><h3 class="jobSectionHeader"><br>
<b>
Job Summary</b></h3><p>
We are seeking a highly skilled <b>Senior Data Engineer</b> with strong expertise in the classic data stack, particularly <b>SQL Server and SSIS</b>. The role involves designing, building, and maintaining scalable data pipelines, robust data models, and data marts.</p><p>
The ideal candidate will play a key role in developing a structured semantic layer, ensuring high-quality, consistent, and accessible data to support analytics and business intelligence initiatives.</p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><h4 class="jobSectionHeader"><b>
1. Data Modeling</b></h4><ul><li>
Design and maintain scalable and high-performance data models</li><li>
Develop data marts aligned with business requirements</li><li>
Apply best practices in data warehousing (Data Vault knowledge is a plus)</li></ul><h4 class="jobSectionHeader"><b>
2. Semantic Layer Development</b></h4><ul><li>
Build and maintain a semantic layer with clear definitions, hierarchies, and data structures</li><li>
Ensure consistency and usability of data across reporting and analytics platforms</li></ul><h4 class="jobSectionHeader"><b>
3. Data Pipeline Development (ETL)</b></h4><ul><li>
Develop and manage ETL pipelines using <b>SSIS and SQL Server</b></li><li>
Automate data extraction, transformation, and loading processes</li><li>
Ensure reliability and availability of data across systems</li></ul><h4 class="jobSectionHeader"><b>
4. Data Quality &amp; Governance</b></h4><ul><li>
Ensure accuracy, completeness, and consistency of data from source systems</li><li>
Implement validation and monitoring mechanisms</li></ul><h4 class="jobSectionHeader"><b>
5. Stakeholder Collaboration</b></h4><ul><li>
Work closely with business teams, analysts, and data scientists</li><li>
Translate business requirements into scalable data solutions</li></ul><h4 class="jobSectionHeader"><b>
6. Documentation &amp; Standards</b></h4><ul><li>
Maintain comprehensive documentation for data models, ETL processes, and workflows</li><li>
Promote best practices in data engineering and governance</li></ul><h4 class="jobSectionHeader"><b>
7. Mentorship</b></h4><ul><li>
Provide technical guidance and mentorship to junior team members</li><li>
Encourage adoption of best practices in ETL and data modeling</li></ul><h3 class="jobSectionHeader"><br>
<b>
Technical Skills &amp; Requirements</b></h3><ul><li>
Strong experience with <b>Microsoft SQL Server</b></li><li>
Expertise in <b>SSIS (SQL Server Integration Services)</b></li><li>
Proficiency in:<ul><li>
Stored Procedures, Functions, Views, Triggers</li><li>
ETL design and development</li><li>
Data transformation and migration across systems</li></ul></li><li>
Experience in:<ul><li>
Performance tuning (query optimization, staging, parallel processing)</li><li>
Debugging and optimizing ETL workflows</li><li>
Database design, indexing, and security</li></ul></li></ul><h3 class="jobSectionHeader"><br>
<b>
Qualifications</b></h3><ul><li>
Bachelor&rsquo;s degree in Computer Science, IT, or a related field</li></ul><h3 class="jobSectionHeader"><br>
<b>
Experience</b></h3><ul><li>
Minimum 6<b>+ years</b> of experience in:<ul><li>
Data engineering</li><li>
Data warehousing</li><li>
ETL development using SSIS</li></ul></li></ul><h3 class="jobSectionHeader"><br>
<b>
Preferred Skills (Nice to Have)</b></h3><ul><li>
Experience with <b>Data Vault modeling</b></li><li>
Exposure to modern data platforms or cloud environments</li><li>
Understanding of data governance and data quality frameworks</li></ul><p>
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Senior Data Engineer (SSIS)

Apple

<p>Join the Final Cut Pro engineering team - Apple's flagship professional video editing suite used by major Hollywood studios and millions of creators worldwide - and help shape the next generation of data infrastructure powering professional creative workflows.<br>
<br>
As a Senior Applications Engineer specializing in Data Infrastructure, you will bring deep expertise in database internals, on-device data systems, and high-performance computing to a team building the persistence and data layer foundations of Final Cut Pro - where managing complex object graphs, transactional integrity under real-time demands, and long-term architectural evolution are the everyday reality. You will contribute strong systems-level thinking and architectural depth while helping expand the team's collective knowledge in modern data patterns - including distributed systems concepts and microservices design - and how they can be thoughtfully applied to a demanding desktop application environment.<br>
<br>
This is a hands-on engineering role for someone who thrives at the intersection of systems engineering and data architecture - excited to bring expertise from backend, infrastructure, or distributed systems domains into a performance-critical creative application where data integrity and responsiveness are non-negotiable. You will work with a high degree of autonomy alongside engineers who care deeply about craft and correctness.<br>
<br>
<b>Description</b><br>
<br>
Design and evolve Final Cut Pro's persistence layer, including schema design, query optimization, and data storage for multi-gigabyte project files requiring real-time responsiveness.<br>
<br>
Design and implement scalable data models that support complex media workflows, drawing on deep knowledge of database internals, indexing strategies, and I/O optimization.<br>
<br>
Participate in architectural discussions, code reviews, and engineering excellence initiatives - bringing distributed systems and modern database perspectives to broaden the team's technical toolkit.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Hands-on experience with embedded or local database technologies such as SQLite, Realm, LevelDB, or similar - particularly in the context of client-side or on-device data management.<br>
<br>
Familiarity with distributed data patterns - including microservices architecture, CQRS, or CRDTs, and a genuine interest in exploring how these concepts could benefit on-device and desktop application data layers.<br>
<br>
Familiarity with Apple's development ecosystem (macOS, iOS, Xcode) or demonstrated ability to ramp quickly on a new platform environment.<br>
<br>
Experience working in large, complex codebases with incremental modernization goals and long-term architectural vision.<br>
<br>
Exposure to media, graphics, or creative software domains is a plus, but not required - curiosity and enthusiasm for the problem space matters more.<br>
<br>
Knowledge of data migration strategies and performance tuning for I/O-bound systems.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
7+ years of experience in applications, platform, or infrastructure engineering with a strong focus on data systems design and implementation.<br>
<br>
Deep expertise in database internals - query planning, indexing, transaction management, and schema migration strategies.<br>
<br>
Proficiency in Swift, C++, or Rust - with a strong emphasis on memory management, concurrency, and performance optimization.<br>
<br>
BS or MS in Computer Science, Engineering, or equivalent practical experience, with demonstrated depth in systems programming, distributed computing, or database engineering.<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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 $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Senior Applications Engineer - Data Layer

Hire The Consultant

<p>Our client is pioneering ultra-fast and agile <b>identity verification solutions</b> driven by cutting-edge AI and machine learning. Their team thrives in a dynamic, fast-paced startup environment where innovation and adaptability are key.</p><p><b>About the Role</b><br/>We are looking for a <b>Senior Data Engineer</b> to enhance and expand the company&rsquo;s data<br/>engineering capabilities. In this role, you will design and implement scalable data<br/>pipelines to process, analyse, and extract meaningful insights from Product&rsquo;s<br/>identity platform. You will work closely with our development, analytics, and<br/>machine learning teams to ensure efficient data flows, optimize performance, and<br/>support data-driven decision-making. Strong programming skills, expertise in data<br/>modelling, and a problem-solving mindset are essential to succeed in this role.</p><p><b>As a Data Engineer, you will:</b><br/>Design and implement metrics to monitor the performance of machine learning models in a production environment.<br/>Identify the data needed for a business problem and implement logging required to ensure the availability of data.<br/>Build and maintain data streaming system to monitor the performance of edge devices.<br/>Write ETL scripts to enhance, standardize, and optimize data for analysis.<br/>Design databases to meet the analysis requirements considering the integration of data from different sources.<br/>Maintain data integrity by designing and improving automated tasks for processing and validating large amounts of data efficiently.<br/>Work closely with Product&rsquo;s machine learning and software engineers to understand data needs, representing key data insights visually in a meaningful way.<br/>Communicate important information and insights to the data team and software engineers.</p><p><b>Requirements</b><br/>Bachelor&rsquo;s degree or higher in computer science or related fields and <b>+5 years of professional experience as a data engineer or equivalent.</b><br/>Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale.<br/>Expert proficiency in Python and essential development tools such Git, Jira, and Docker.<br/>Strong experience in large data sources including SQL, NoSQL databases, data warehouses, and data lakes.<br/>Expert proficiency in writing SQL statements.</p><p>Excellent analytical and problem-solving skills.<br/>Exceptional communication and presentation skills in order to explain your work to people who don&rsquo;t understand the mechanics behind data analysis.<br/>Experience in database interrogation and analysis tools, such as Grafana.<br/>Comfortable working with AWS services including Lambda, CloudWatch, and Timestream.<br/>Teamworking skills and a collaborative approach to sharing ideas and finding solutions.</p><p><b>Nice to have: </b>Interest in cyber-security or biometrics.</p><p><b>Pay</b>: Tax-Free Remittance</p><p><b>Shift</b>: UK Time (So day shift for PK market)</p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Current Pay?</li><li>Expected Pay?</li></ul><p>Work Location: Remote</p>

Senior Data Engineer (Remote)

Procore Technologies

<div>
 <strong>
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 We're looking for a
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 to join the Graph &amp; Insights team within Procore's Construction Intelligence division. In this role, you'll build and scale the data platform that transforms construction project data into connected, queryable knowledge &mdash; enabling teams across Procore to surface insights, identify risks, and make smarter decisions.
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  data modeling, graph-based relationships, and high-throughput processing
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 This position reports to the Engineering Manager for Construction Intelligence and will be based in our
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 <br/>
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 What you&rsquo;ll do:
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 <br/>
 <ul>
  <li>
   Create scalable data pipelines and microservices using a variety of technologies such as Java, Flink, Kafka, and Airflow.
  </li>
  <li>
   Participate in designing and building systems that are aligned with Procore&rsquo;s technical vision of a service-oriented architecture.
  </li>
  <li>
   Design and maintain graph data models and relationship-based architectures to provide a unified view of construction data.
  </li>
  <li>
   Work up and down the stack to ship code for our microservices and Flink jobs, and dive deep into the database layer to handle complex relational and graph querying needs.
  </li>
  <li>
   Implement and maintain algorithms and techniques to reduce data redundancy.
  </li>
  <li>
   Work in building applications using LLMs and GAIs.
  </li>
  <li>
   Monitor, analyze, and optimize the performance of our data pipelines and graph platforms.
  </li>
  <li>
   Maintain and evolve our data platforms to have clear domain boundaries and a coherent public interface, in alignment with Procore's technical vision.
  </li>
  <li>
   Mentor junior engineers within the team, providing guidance and support.
  </li>
  <li>
   Work with other engineers and stakeholders to ensure the success of our platforms.
  </li>
  <li>
   Collaborate with Engineering, Product, and UX to design and build solutions that delight users and solve critical business problems.
   <br/>
   <br/>
  </li>
 </ul>
 What we&rsquo;re looking for:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Engineering, or a related field.
  </li>
  <li>
   5+ years of experience in Object Oriented Programming fundamentals, Test Driven Development, and Design principles.
  </li>
  <li>
   Strong experience building and optimizing data pipelines, architectures, and datasets, with a focus on both real-time streaming and batch processing using Spark or Flink.
  </li>
  <li>
   Professional experience working with Graph Technologies (such as Neo4j or similar) and writing optimized relationship-based queries.
  </li>
  <li>
   Strong understanding of software and data engineering principles and practices.
  </li>
  <li>
   Experience with a variety of data technologies, including Apache Flink, Apache Kafka, GraphQL, REST APIs, DynamoDB, Elastic Search, MongoDB, and Graph Databases.
  </li>
  <li>
   Experience with running services on Kubernetes and familiarity with Helm charts and Terraform.
  </li>
  <li>
   Experience in cloud environments like AWS, GCP, or Azure.
  </li>
  <li>
   Experience with data deduplication algorithms and techniques.
  </li>
  <li>
   Experience with deploying machine learning and statistical modeling.
  </li>
  <li>
   Excellent problem-solving, communication, and teamwork skills.
  </li>
  <li>
   Familiarity with Python, Java, and PHP for general scripting and software development.
  </li>
  <li>
   Experience with using Large Language Models for building applications is a plus.
  </li>
 </ul>
</div>


Senior Software Engineer - Data

Above Lending

<div><div>Above Lending is a next-generation financial services company. We provide simple and transparent products aimed at helping our clients achieve their personal finance goals. With competitive rates and personalized support, our mission is to simplify the lending process and help borrowers attain financial well-being. We are committed to making credit more affordable and accessible.</div><div></div><div><p><br>
We're looking for a Senior Data Engineer who operates like an owner and thinks like a Systems Engineer.</p>
<p>
This is a deeply hands-on role. You'll spend the majority of your time writing SQL, building pipelines, and working directly with raw data. Beyond pure engineering, we expect some experience in database upkeep and maintenance, as well as the ability to analyze data - spotting patterns, questioning results, and understanding what the numbers actually mean. You'll take ambiguous problems, break them down, and deliver reliable, scalable solutions without step-by-step guidance.</p>
<p>
Strong candidates will be comfortable with messy source data, incomplete documentation, and figuring things out. If you need heavy direction or clean inputs to do your best work, this role likely isn't the right fit.</p>
This is a hybrid role based in Chicago, IL.</div>
<h3 class="jobSectionHeader"><b>What You'll Do</b></h3>
Build and own end-to-end data pipelines (ingestion staging<ul><li> marts) using <b>Snowflake, Airflow, Fivetran, and DBT.</b></li>
<li>Work directly with raw data. Identify issues and implement fixes in base and staging layers before they propagate downstream.</li>
<li>Design data models that are simple, scalable, and trusted by the business.</li>
<li>Write advanced, high-performance <b>SQL.</b></li>
<li>Understand the underlying database technology: execution plans, indexing, clustering, and storage behavior.</li>
<li>Debug data issues deeply, tracing problems across systems.</li>
<li>Use Python for ETL automation, scripting.</li>
<li>Build and enforce data quality checks that prevent bad data from reaching consumers.</li>
<li>Monitor pipelines proactively and resolve issues.</li>
</ul><h3 class="jobSectionHeader"><b>What You Bring</b></h3><ul>
<li><b>5+ years </b>of hands-on data engineering experience - including administration or support.</li>
<li>Fintech or similarly data-intensive environments preferred.</li>
<li>Expert-level <b>SQL:</b> joins, window functions, performance trade-offs.</li>
<li>Proven experience building data models and marts from raw, imperfect source data.</li>
<li>Solid <b>Python </b>skills applied to practical data engineering problems.</li>
<li>Hands-on experience with <b>Snowflake, Airflow, Fivetran, and DBT.</b></li>
<li>A high bar for data quality - you don't trust a number until you've validated it.</li>
<li>The ability to operate independently, make decisions under ambiguity, and follow problems through to resolution.</li>
</ul><h3 class="jobSectionHeader"><b>What Sets You Apart</b></h3><div>
<ul><li>You've debugged data issues others couldn't explain.</li>
<li>You've worked with poorly documented or unreliable source systems and made them usable.</li>
<li>You've said &quot;this number is wrong&quot; - and proved it.</li>
<li>You care about correctness as much as performance.</li>
<li>You default to solving problems, not escalating them.</li>
</ul></div><div>This role is eligible for additional incentives, including an annual bonus. These rewards are allocated based on level, impact and performance in the role. The compensation range is based on the level outlined in the job posting, and compensation decisions are dependent on each applicant's experience, skills and abilities.</div><div>
Join our dynamic team and contribute to Above Lending&rsquo;s success as we continue to provide innovative lending solutions to our customers.</div><div></div><div><i><br>
Under the California Consumer Privacy Act (&ldquo;CCPA&rdquo;), Above Lending is informing California residents who are our job applicants, contractors or prospective employees (together &ldquo;job applicants&rdquo;) about the categories of personal information we collect about you and the purposes for which we will use this information. This notice and our Privacy Policy contain important information relating to the CCPA and apply only to personal information that is subject to the CCPA. Please see our website for the full CCPA statement.</i></div><div></div><div><br>
*Above Lending is an equal opportunity Employer*</div><div><i>
Above Lending does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job positions. No fee will be paid to their parties who submit unsolicited candidates directly to Above Lending employees or the Above Lending Finance and HR teams. No placement fee will be paid to any third party unless such a request has been made by the Above Lending HR team.</i></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior Data Engineer

WebstaurantStore

<div><h2 class="jobSectionHeader"><b>Job Summary</b></h2><p>
The Database Reliability Engineer (DBRE) helps to protect, preserve, and ensure the availability of data by owning day-to-day reliability work and driving targeted improvements across Microsoft SQL Server and other supported systems. The role partners with more experienced DBREs to measure and tune performance, maintain healthy configurations, and implement new SQL Server features that enhance stability and throughput. It combines hands-on operations with problem solving during incidents, including triage, root-cause analysis, and follow-through on durable corrective actions.</p><p></p><p><br>
As a core contributor, this individual advances automation and tooling by documenting and eliminating repeatable tasks, building and maintaining internal self-service capabilities for software engineers, and developing proficiency with third-party tools. The DBRE shares responsibility for security controls, backup strategies, disaster-recovery readiness, and on-call. They apply best practices that reduce manual effort, strengthen observability, and uphold service-level objectives.</p><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><p><b>
As a DBRE, you will:</b></p><ul><li>
Protect, preserve, and ensure the continuous availability of data.</li><li>
Collaborate with senior team members to measure, analyze, and fine-tune database performance, ensuring optimal configuration and resource utilization.</li><li>
Document and automate routine database tasks to reduce manual effort and improve operational efficiency.</li><li>
Assist in building, testing, and maintaining internal tools that enable application and database developers to manage their own data needs.</li><li>
Gain proficiency in both in-house developed solutions and third-party tools used for database monitoring, management, and automation.</li><li>
Share responsibility for implementing and maintaining database security, backup strategies, and routine maintenance procedures.</li><li>
Join the on-call rotation to respond to incidents, contribute to root cause analysis, and implement long-term fixes to prevent recurrence.</li><li>
Implement new SQL Server features to improve performance, reliability, and scalability.</li><li>
Respond to and resolve database performance incidents.</li></ul><h2 class="jobSectionHeader"><b>
Physical Requirements</b></h2><ul><li>
Work is performed while sitting/standing and interfacing with a personal computer.</li><li>
Requires the ability to communicate effectively using speech, vision, and hearing.</li><li>
Requires the regular use of hands for simple grasping and fine manipulations.</li><li>
Requires occasional bending, squatting, crawling, climbing, and reaching.</li><li>
Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.</li></ul><h2 class="jobSectionHeader"><b>
Remote Work Qualifications</b></h2><ul><li>
Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.</li><li>
Access to a home router and modem.</li><li>
A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).</li><li>
A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.</li><li>
The desire and ability to work and communicate with other team members via chat, webcam, etc.</li><li>
Legal residents of one of the following states: (AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, NC, ND, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, or WY). H-1B Visa Sponsorship Not Available, W2 only.</li></ul><h2 class="jobSectionHeader"><b>
Experience</b></h2><p><b>
Minimum Qualifications:</b></p><ul><li>
Have 2+ years of experience supporting Microsoft SQL Server</li><li>
Have 2+ years of experience supporting Postgres</li><li>
Experience supporting SQL Server Always On Availability Groups.</li><li>
Strong working knowledge of Microsoft SQL Server. Able to write, review, and troubleshoot T-SQL and apply basic performance tuning.</li><li>
Able to follow and improve runbooks and documentation to make work repeatable.</li><li>
Possess a strong attention to detail.</li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Comfortable building and maintaining PowerShell scripts, including error handling and simple tests.</li><li>
Good understanding of relational design with awareness of normalization trade-offs.</li><li>
Comfortable with both Windows and Linux systems (services, networking basics, package managers).</li><li>
Hands-on experience with PostgreSQL and/or MariaDB for common admin tasks (users/roles, backups/restores, minor version upgrades).</li><li>
Comfortable with Git and collaborative workflows (branching, pull requests, code reviews, resolving merge conflicts).</li><li>
Ability to triage performance issues and restore systems to their baseline state.</li><li>
Familiarity with automation and task scheduling tools to improve efficiency and reduce manual intervention.</li><li>
Implemented and maintained database security and compliance controls such as least privilege access, auditing, encryption, and secrets management.</li></ul><h2 class="jobSectionHeader"><b>
Education</b></h2><p>
This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else.</p><h2 class="jobSectionHeader"><b>
Desired Traits &amp; Skills</b></h2><p><b>
Hungry:</b></p><ul><li>
Passionate for their work.</li><li>
Goes above and beyond to get the job done.</li><li>
Looks for opportunities in all aspects of the company.</li><li>
Process improvement focus.</li></ul><p><b>
Humble:</b></p><ul><li>
Easily admits to mistakes.</li><li>
Acknowledges his/her weaknesses.</li><li>
Displays a grounded confidence but not arrogance.</li></ul><p><b>
Smart:</b></p><ul><li>
Shows empathy.</li><li>
Attentive listener.</li><li>
Adjusts his/her own behavior to fit the nature of a conversation.</li><li>
Understands what others are thinking.</li></ul><p><b>
One Part of the Bigger Picture</b></p><p>
WebstaurantStore&rsquo;s parent company, Clark Associates, has made the <i>Central Penn Business Journal&rsquo;s </i>list of &ldquo;Top 50 Fastest Growing Companies&rdquo; in Pennsylvania for 9 years in a row. The base of Clark&rsquo;s success comes from four key directives: Hiring great people, creating value for customers, and investing in employees and their communities. These pillars drive each of Clark Associates&rsquo; multi-million-dollar businesses forward, including WebstaurantStore and other industry-leading names like 11400, Clark Food Service Equipment, The Restaurant Store, and Clark National Accounts.</p><p><b>
Are You Ready?</b></p><p>
Entrepreneurial Spirit is the driving force behind WebstaurantStore&rsquo;s work environment. Making things better for our customers is our goal every single day. Achieving that goal means taking risks, accepting failure, and learning from our mistakes. If that sounds like a mission you&rsquo;re ready to be a part of, we&rsquo;d love to discuss this role with you further, and we&rsquo;re excited to meet you!</p><p><b>
Never heard of us? That&rsquo;s okay! We love sharing our stories.</b></p><ul><li><i>
WebstaurantStore | About Us</i></li><li><i>
Video Message from Leadership</i></li><li><i>
Clark Associates Timeline [Parent Company]</i></li></ul><p><b>
Check us out on:</b></p><ul><li><i>
LinkedIn</i></li><li><i>
Instagram</i></li><li><i>
Facebook</i></li><li><i>
YouTube</i></li><li><i>
TikTok</i></li><li><i>
Pinterest</i></li><li><i>
X/Twitter</i></li></ul><h2 class="jobSectionHeader"><b>
Company Overview</b></h2><p>
The foodservice professional&rsquo;s premier source for restaurant equipment, supplies, and knowledge online. Our purpose is to empower and equip people to run their businesses more profitably and efficiently.</p><h2 class="jobSectionHeader"><b>
Benefits</b></h2><ul><li>
Medical</li><li>
Vision</li><li>
Dental</li><li>
PTO</li><li>
Paid Maternity Leave</li><li>
Paid Parental Leave</li><li>
Life Insurance</li><li>
Disability</li><li>
Dependent Care FSA</li><li>
401(k) matching</li><li>
Employee Assistance Program</li><li>
Wellness Incentives</li><li>
Company Discounts</li><li>
AT&amp;T &amp; Verizon Discount</li><li>
Bonus Opportunities</li><li>
Accident Insurance</li><li>
Critical Illness Insurance</li><li>
Adoption Assistance</li></ul><h3 class="jobSectionHeader"><b>
Available at HQ Locations Only</b></h3><ul><li>
On-Site Fitness Centers</li><li>
Dog-friendly Offices</li></ul></div>

Database Reliability Engineer (Remote)

McKesson

<div><h2 class="jobSectionHeader"><b>Sr Data Engineer - Databricks</b></h2>
<p>Columbus, Ohio</p>
<p>Job ID JR0145513</p>
<p>Category Data Engineering, Information Technology</p> <p>Post Date Apr. 13, 2026</p><div></div><div>
</div><div></div><div><p>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.</p><p>
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.</p><p>
The <b>Senior Data Engineer - Databricks</b> with CoverMyMeds will support and expand the data platforms that process, store, and organize data critical for the Data &amp; Analytics team. We are hiring for two complementary roles within this scope:</p><ul><li><p><b>
Ingestion-Focused Engineer</b> &ndash; responsible for defining scalable ingestion patterns, establishing standards, and mentoring junior engineers as we expand data intake across domains</p></li><li><p><b>
Pipeline-Focused Engineer (Databricks)</b> &ndash; responsible for designing and building robust data pipelines, leveraging Databricks and modern data engineering best practices</p></li></ul><p>
Both roles play a key part in shaping how data flows into and across our platform and will partner closely to deliver scalable, high-quality data solutions. A background in pharmacy claims data is a strong plus for either role.</p><p>
These roles participate in technical strategy and execution to provide trusted, stable, reliable, responsive, and secure solutions, while proactively informing business partners on platform health and issue resolution. The Senior Data Engineer will work collaboratively with Data Systems Analysts as well as Analytics and Technology partners to solve business problems and deliver scalable solutions.</p><ul><li><i>Candidate must reside in the Columbus, OH area to support a hybrid work schedule.
</i></li><li><i>At this time, we are not able to offer sponsorship for employment visas for this role. This includes individuals currently on F-1 OPT, STEM OPT, or any other visa status that would require future sponsorship. Candidates must be authorized to work in the United States on a permanent basis without the need for current or future sponsorship.</i></li></ul><p><b>
Responsibilities:</b></p><ul><li><p>
Design and develop solutions and commissioning of complex data across systems for internal and external customers</p></li><li><p>
Develop data ingestion and integration pipelines from various sources into the data warehouse / lakehouse</p></li><li><p>
Define and implement scalable ingestion and pipeline patterns to support both batch and real-time processing</p></li><li><p>
Work with databases, files, and unstructured data to identify, transport, and validate data required for synchronization and incremental loads</p></li><li><p>
Write code in SQL and/or cloud-based tools such as Databricks (preferred) or Snowflake to cleanse, apply business logic, and standardize data according to business rules</p></li><li><p>
Design conceptual and logical data models based on business reporting requirements</p></li><li><p>
Partner with business and application teams to understand source system data flows and architect efficient downstream solutions</p></li><li><p>
Mentor junior engineers and contribute to engineering standards, best practices, and code quality</p></li><li><p>
Role alignment (ingestion vs. pipeline focus) will be determined based on candidate strengths and team needs</p></li></ul><p><b>
Qualifications:</b></p><ul><li><p>
Bachelor's degree in Computer Science, Information Systems or related field, or related experience, and typically requires 7+ years of technical and professional expereince related to the responsibilities listed above</p></li><li><p>
Strong hands-on experience with cloud data platforms (Databricks strongly preferred), data warehousing, and pipeline development</p></li><li><p>
Experience building and maintaining scalable data ingestion frameworks and pipelines</p></li><li><p>
Experience working with structured and unstructured data in batch and real-time environments</p></li><li><p>
Strong SQL skills and experience applying business logic within data transformations</p></li><li><p>
Experience supporting Reporting &amp; Analytics, Real-Time Analytics, Systems Integration, and Data Governance</p></li><li><p>
Demonstrated expertise in data modeling and database design</p></li><li><p>
Experience with large-scale data platform implementations</p></li></ul><p><b>
Preferred Skills:</b></p><ul><li><p>
Experience with Databricks (Delta Lake, Spark, workflows, and pipeline orchestration)</p></li><li><p>
Background working with pharmacy or healthcare claims data</p></li><li><p>
Excellent written and verbal communication skills; clear, timely communication with the ability to influence across teams</p></li><li><p>
Ability to find creative solutions to complex problems</p></li><li><p>
Strong sense of urgency and ownership for task/project completion</p></li><li><p>
Highly collaborative, able to work across business and technical teams to achieve results</p></li></ul><div>
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,<div>
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Our Base Pay Range for this position</b></p>
$127,400 - $212,300<p>
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:<br>
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McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.</p><p><br>
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.</p><div>
McKesson job postings are posted on our career site: careers.mckesson.com<div>
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McKesson is an Equal Opportunity Employer</b></p><div>
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<div>
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 page.</div><div>
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com<div>
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 or (Canada) Accessibility@mckesson.ca<div>
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. Resumes or CVs submitted to this email box will not be accepted.</div><p><b>
Join us at McKesson!</b></p></div></div><div></div>

Sr Data Engineer - Databricks

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