data operations engineer

IMC Financial Markets

<div><div><div><div><div><div>Experienced</div></div><div></div><div><div>
Technology</div></div><div></div><div><div>
Chicago</div></div></div></div><div></div><div><div> 
We are looking for a data-focused engineer with a strong operational focus to support the Performance Team&rsquo;s data platform at IMC. This role is responsible for the reliability, correctness, and performance of data systems that directly support performance analysis and decision-making.</div>
<div>
The role is production-facing and works closely with the Performance team and aligned stakeholders to ensure data workflows are robust, observable, and efficient.</div>
<div>
What you&rsquo;ll do:
</div><ul><li>Own the operational health of the Performance Team&rsquo;s data platform</li>
<li>Monitor and maintain ETLs and data pipelines for correctness, timeliness, and stability</li>
<li>Design and maintain data quality checks, reports, and alerting specific to performance data</li>
<li>Investigate and resolve data issues and pipeline failures, driving problems to root cause</li>
<li>Own and troubleshoot GitLab CI/CD pipeline issues related to performance data workflows</li>
<li>Monitor workloads and resource usage; identify and resolve imbalances and bottlenecks</li>
<li>Build and maintain operational tooling, automation, and runbooks</li>
<li>Continuously tune data pipelines and workloads to improve performance and resource efficiency</li>
</ul>
<div>What you bring:</div>
<ul>
<li>3+ years of experience in software engineering or data engineering with an operational or production focus</li>
<li>A Bachelor&rsquo;s Degree in Computer Science or a related field is strongly preferred</li>
<li>Proficiency in Python, with hands-on experience using PySpark and Pandas</li>
<li>Experience supporting production ETL or data processing systems</li>
<li>Familiarity with Git-based development workflows and CI/CD systems (GitLab preferred)</li>
<li>Strong analytical skills and attention to detail</li>
<li>Comfortable taking ownership in a performance- and reliability-critical environment</li>
</ul>
<div>Nice to Have</div>
<ul>
<li>Experience working with performance-critical or high-throughput systems</li>
<li>Exposure to workload scheduling, resource management, or cluster-based compute</li>
</ul>
<div>What Success Looks Like</div>
<ul>
<li>Performance data pipelines are reliable, observable, and trusted</li>
<li>Issues are detected early and resolved quickly with clear root-cause ownership</li>
<li>Workloads are well-balanced and systems run efficiently</li>
</ul><div><div>
About Us</div>
<div>
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.</div></div></div><div></div><div><div><div> 
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit <div>Benefits - US | IMC Trading</div> for more comprehensive information.</div></div><h5 class="jobSectionHeader">
Salary Range</h5><div>
$185,000.00 - $225,000.00 USD</div></div></div></div><div></div>

DATA PLATFORM OPERATIONS ENGINEER – PERFORMANCE

ibex

<div>
 We are seeking a highly motivated and responsible
 
 Data Engineer
 
 to join our dynamic team. This role requires hands-on experience in building scalable data pipelines, managing structured and unstructured databases, and supporting end-to-end data operations. The ideal candidate will bring strong problem-solving skills, a collaborative mindset, and a commitment to data excellence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and manage reliable and scalable data pipelines.
 </li>
 <li>
 Clean, validate, and transform data from multiple sources for analytics and operational use.
 </li>
 <li>
 Work with large datasets and ensure high data quality and availability.
 </li>
 <li>
 Develop and maintain ETL workflows using standard tools and scripting.
 </li>
 <li>
 Automate data extraction, transformation, and loading processes across systems.
 </li>
 <li>
 Monitor and optimize performance of data workflows for speed and efficiency.
 </li>
 <li>
 Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views.
 </li>
 <li>
 Design and implement relational database schemas and indexing strategies.
 </li>
 <li>
 Ensure data integrity, security, and compliance within SQL Server environments.
 </li>
 <li>
 Work with MongoDB for storing and querying unstructured or semi-structured data.
 </li>
 <li>
 Design document-based data models and manage performance tuning for MongoDB.
 </li>
 <li>
 Handle replication and backup strategies where applicable.
 </li>
 <li>
 Analyze complex data requirements and translate them into efficient technical solutions.
 </li>
 <li>
 Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
 </li>
 <li>
 Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
 </li>
 <li>
 Participate in code reviews, team planning sessions, and cross-functional meetings.
 </li>
 <li>
 Take ownership of assigned tasks with accountability and attention to detail.
 </li>
 <li>
 Exhibit a proactive approach to delivering solutions and supporting team goals.
 </li>
 <li>
 Contribute to architectural discussions and recommend improvements based on industry best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in data engineering or database development roles.
 </li>
 <li>
 Strong proficiency in SQL Server (T-SQL, indexing, optimization).
 </li>
 <li>
 Hands-on experience with MongoDB or other NoSQL technologies.
 </li>
 <li>
 Familiarity with data pipeline tools and ETL development.
 </li>
 <li>
 Working knowledge of Python or similar scripting languages.
 </li>
 <li>
 Understanding of data modeling, normalization, and data warehousing concepts.
 </li>
 <li>
 Strong analytical thinking and problem-solving skills.
 </li>
 <li>
 Excellent communication and teamwork abilities.
 </li>
 </ul>
</div>

Data Engineer, Tech

Capital One

<div>Distinguished Data Engineer - Enterprise Data Technology
Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.<div> 
About the team
The Data Operations Center (DOC) serves as the backbone of our enterprise data ecosystem, ensuring the stability and scalability of our core e-data platforms. As a horizontal organization, we manage a diverse tech stack including Snowflake, Databricks, DynamoDB, File Transfers and legacy systems like Ab Initio to provide a high-performance foundation for the entire enterprise while housing an internal AI,ML Engineering team focused specifically on our evolution. By integrating AI,ML directly into our operations, we are transforming our model from reactive maintenance to a predictive, self-healing, and automated platform architecture. This collaborative structure ensures that the organization continuously evolves its support mechanisms, moving from reactive to predictive and automated operations. 
Responsibilities<ul><li>
Lead the design and implementation of highly scalable, fault-tolerant, and cost-effective data architectures that seamlessly integrate Databricks (for complex processing,ML) and Snowflake (for warehousing,ETL).</li><li>
Drive performance engineering and optimization for large-scale data ingestion and processing workloads across the Databricks,Snowflake,AWS data pipeline.</li><li>
Provide technical leadership for the design, development, testing and deployment of agentic workflows across Capital One.This position requires a combination of strategic thinking, technical expertise in AI,ML and strong leadership to align the platform with business goals</li><li>
Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices</li><li>
Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities</li><li>
Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in</li><li>
Strike the right balance between lending expertise and providing an inclusive environment where others&rsquo; ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team</li><li>
Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible</li><li>
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner</li><li>
Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One&rsquo;s Tech talent</li></ul> 
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 7 years of experience in data engineering</li><li>
At least 3 years of experience in data architecture</li><li>
At least 2 years of experience building applications in AWS</li><li>
At least 5 years of experience of Python, SQL or Scala</li><li>
At least 3 years of experience developing AI and ML algorithms or technologies</li></ul> 
Preferred Qualifications:<ul><li>
Masters&rsquo; Degree</li><li>
5+ years of experience in data engineering (Hadoop,AWS,Snowflake,ETL etc.)</li><li>
5+ years of experience in Data Governance, Data Governance Platforms, Data Standardization, and Data Modeling</li><li>
5+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>
Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>
Deep proficiency and strategic experience with Databricks (e.g., Delta Lake, Unity Catalog, MLflow, performance tuning Spark workloads).</li><li>
Deep proficiency and strategic experience with Snowflake (e.g., Data Sharing, Snowpipe, external tables, security features, cost governance, advanced SQL, Stored Procedures).</li></ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position</div>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $269,100 - $307,200 for Distinguished Data Engineer 

San Francisco, CA: $293,600 - $335,100 for Distinguished Data Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Distinguished Data Engineer - Enterprise Data Technology

Photronics

<div>For more than 50 years, Photronics has been a global leader in photomask technology, powering the innovation behind the world&rsquo;s most advanced devices. Our success is built on collaboration, quality, and the dedication of our people.
We are hiring an Application Engineer who evaluates and supports digital integrated-circuit processing and MES requirements for mask manufacturing. They analyze software solutions to define data-operation workflows and work with vendors and internal teams to develop capabilities that meet process needs. They also partner with customers to ensure robust, effective solutions.
Location: Allen, Texas (US). This is an on-site position, and we are not open to remote candidates currently.
Shift: Tuesday - Saturday: 3:00pm - 12:00am<h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Provide technical guidance to photomask data operations to improve efficiency and capability of established workflows for standard products.</li><li>
Prepare and optimize mask data using tools such as Synopsys CATS and NCS NDE, converting layout files (GDSII/OASIS) into fractured and production-ready mask data for standard product manufacturing. This may include conversion between data formats as well as data digitization.</li><li>
Generate job decks for reticle layout and support MES system and metrology activities for standard products.</li><li>
Conduct layout verification utilizing tools like defined Mask Rule Checks (MRC) and Mask Proximity Correction (MPC) to ensure compliance with customer and manufacturing specifications. May provide documentation and training in support of these activities.</li><li>
Resolve layout, data, or specification issues for standard products. Recommend and implement approved workflow and documentation enhancements to improve data quality and consistency.</li><li>
Support automation initiatives and implementation to streamline the data preparation process.</li><li>
Support new tools and methodology evaluations and adoption of new technologies for data operations.</li><li>
Create and maintain technical documentation adhering to standard practices.</li><li>
Serve as a technical point of contact for customers, offering capable guidance and ensuring successful product delivery.</li><li>
Additional responsibilities as assigned.</li></ul>
Travel:<ul><li>
Less than 5% onsite support as needed for regional customer and operational initiatives.</li></ul><h2 class="jobSectionHeader">
Qualifications (Knowledge, Skills &amp; Attributes)</h2><ul><li>
Experience successfully managing complex projects and meeting deadlines under tight timeframes.</li><li>
Clear and effective communicator with the ability to engage both technical teams and external customers. Motivated self-starter with a collaborative mindset.</li><li>
Strong Unix environment experience and ability to work at one of our sites. If in the US, ability to obtain government clearance.</li></ul><h2 class="jobSectionHeader">
Experience</h2><ul><li>
0&ndash;2 years of experience in photomask data preparation, IC layout/data engineering, or related fields.</li></ul><h2 class="jobSectionHeader">
Education</h2><ul><li>
Bachelor&rsquo;s degree in Electrical Engineering, Computer Engineering, or a related technical field preferred; equivalent work experience will also be considered.</li></ul><h2 class="jobSectionHeader">
Why Photronics</h2><ul><li>
Be part of a global technology leader driving innovation for the world&rsquo;s biggest tech companies.</li><li>
Work in a collaborative, growth-focused environment where your expertise will have a real impact.</li><li>
Develop your leadership skills by mentoring and guiding a talented accounting team.</li><li>
Enjoy stability, challenge, and opportunity at a company with more than 50 years of proven success.</li><li>
Competitive salary and annual bonus program.</li><li>
Equity compensation eligibility.</li><li>
Full suite of health and welfare benefits.</li><li>
401(k) with company match.</li></ul></div>

Application Engineer I

FanDuel

<div>
 
 THE POSITION
 
 
 
 Our roster has an opening with your name on it
 
 
 FanDuel is looking for a Data Support Engineer to advance our data capabilities and ensure the reliability and performance of our critical data pipelines and infrastructure. FanDuel's competitive edge is enabled by our ability to leverage accurate and timely data for informed decision-making.
 
 
 As a Data Support Engineer, you will be a valued member of the Data Support team, maintaining exceptional standards and servicing the needs of data consumers across the company. You will ensure the health of our data infrastructure, contribute to the delivery of reliable, timely, and consumable data, and combine technical troubleshooting with proactive monitoring. You'll have the opportunity to work in an agile environment where you will team up with colleagues having experience in data engineering, machine learning and more.
 
 
 In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
 
 
 
 THE GAME PLAN
 
 
 
 Everyone on our team has a part to play
 
 
 <ul>
 <li>
 Provide on-call technical assistance to analysts, data consumers, and data engineering teams, responding to inquiries relating to query optimization, reporting anomalies, complex data pipeline issues, failed jobs, and data inconsistencies.
 </li>
 <li>
 Investigate and resolve data quality issues in response to system alerts or notifications from stakeholders, ensuring compliance with internal/external audits and control practices.
 </li>
 <li>
 Design and implement batch and real-time data pipelines to the data warehouse or data lake using data transformation technologies, enhancing monitoring dashboards and support tools.
 </li>
 <li>
 Lead impactful initiatives to enhance data pipelines and other data operations capabilities while mentoring and onboarding new support data engineers. Identify operational inefficiencies and implement automation solutions to reduce manual intervention.
 </li>
 <li>
 Create and maintain technical support documentation, including FAQs, troubleshooting steps, support runbooks, and a knowledge base of solutions to recurring issues.
 </li>
 <li>
 Drive operational best practices and shape workflows for routine consumer support, operations monitoring, incident management, and problem management.
 </li>
 <li>
 Administer account access to tools across the technology stack in accordance with our governance policies.
 
 
 
 </li>
 </ul>
 Able to join team's On-call Pager duty rotation to ensure 24/7 coverage and timely response to critical data issues.
 
 
 
 THE STATS
 
 
 
 What we're looking for in our next teammate
 
 
 <ul>
 <li>
 Minimum of 3+ years of experience in data engineering with focus on operational support
 </li>
 <li>
 Advanced SQL skills with proven query optimization experience
 </li>
 <li>
 Strong problem-solving skills with ability to take ownership and accountability for issues through resolution
 </li>
 <li>
 Python programming proficiency for automation and data processing
 </li>
 <li>
 Experience with cloud data platforms (AWS, Databricks, Spark)
 </li>
 <li>
 Understanding of data warehousing and ETL/ELT processing
 </li>
 <li>
 Experience with dimensional data modeling, batch data ingestion, and real-time technologies like Kafka or Kinesis
 </li>
 <li>
 Working knowledge of orchestration and monitoring tools (Airflow, Datadog, Databand, DataFold, Monte Carlo, Prometheus, Grafana)
 </li>
 <li>
 Strong incident management and root cause analysis capabilities
 </li>
 <li>
 Customer-oriented mindset with focus on delivering high-quality support services and attention to detail
 </li>
 <li>
 Exceptional communication and interpersonal skills
 </li>
 <li>
 Proven ability to work effectively within teams and across organizational boundaries
 </li>
 <li>
 Experience owning and coordinating issues across multiple time zones
 </li>
 <li>
 Experience identifying operational inefficiencies and implementing automation solutions using AI techniques
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience with data streaming patterns and tools like Dbt
 </li>
 <li>
 Familiarity with CI/CD practices for data pipelines (BuildKite or Github Actions)
 </li>
 <li>
 Familiarity with data visualization tools such as Tableau or Looker
 </li>
 <li>
 Exposure to database design, performance analysis, and data quality metrics
 </li>
 <li>
 Exposure to Data Science, Machine Learning, and AI applications
 
 
 
 </li>
 </ul>
 
 About Fanduel
 
 
 
 FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America&rsquo;s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry&rsquo;s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
 
 
 In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
 
 
 The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company&rsquo;s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
 
 
 FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
 
 
 
 Player Benefits
 
 
 
 We treat our team right
 
 
 We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO &amp; sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here:
 
 FanDuel Total Rewards
 
 . *Benefits differ across location, role, and level.
 
 
 FanDuel is an equal opportunities employer and we believe, as one of our principles states, &ldquo;We are One Team!&rdquo;. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
 
 
 
 
 The applicable salary range for this position is $116,000 - $152,250 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
 
 
 
 
 
 
 FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
 
 
 
 
 
 
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
 
 
 
 
</div>

Data Engineer

Apple

Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the ML Data Team of the Intelligent System Experience (ISE) group at Apple. We are responsible for building high quality datasets at scale. Every year, our team produces datasets used in the training of ML and AI-centric features for many Apple products, including iPhone, iPad, Mac, Apple Watch and even AirPods. Our work is used in very visible and critical features, from the wallpaper on your iPhone Lock Screen, to your personalized stickers on iMessage, to Apple Intelligence features such as on-device Genmoji and other visual generative models, to the models that highlight the faces and memories of your loved ones in your Photos app. 
 
We&rsquo;re looking for an exceptional software &amp; data engineer who is passionate about Apple products and values, who has a passion for data operations at scale, is comfortable in a fast paced environment and who is committed to the hard work necessary to continuously improve our ML data pipelines. 
 
We invite you to join us at this exciting time. Grow fast and positively impact multiple critical features from your first day at Apple! 
 
Description 
 
Our team focuses on acquiring, synthesizing, annotating, and ensuring the quality of ML data, driving numerous features in collaboration with R&amp;D teams in Apple&rsquo;s SWE organization.&quot;,&quot;responsibilities&quot;:&quot;Operate and maintain data pipelines to effectively process up to billion-scale multimodal data 
 
Find creative ways to automate workflows or build self service tools, implement a variety of data tools for visualization, compliance and ML enrichment 
 
Help bring frontier generative model and agentic capabilities in our pipelines to further optimize our data operations ; and production-ize synthetic data workflows including orchestration and lineage 
 
Identify opportunities for improvement of internal infrastructure offerings, and influence roadmaps of partner teams to build or improve key components we rely on 
 
Preferred Qualifications 
 
Proven experience designing, automating and scaling large data pipelines (petabyte scale desired) using state of the art processing technologies (eg familiarity with Iceberg, BigQuery, Airflow, Spark, etc.) 
 
Expertise in Python, Go or another modern programming language; you are expected to produce high quality, efficient code and participate in code reviews 
 
Strong ability to design and lead a technical roadmap, work with cross functional teams and a diversity of profiles, proven capacity to influence and build alignment 
 
Demonstrated prior experience in delivering large scale multimodal datasets for foundation models 
 
Self-starter, able to handle ambiguity, comfortable in a fast-pace environment, identify risks, mitigate, and autonomously find the right people and tools to get the job done 
 
Proven track record of mentoring and growing engineers, lift the level of software engineering excellence in a ML data ops team typically focused on short term deliveries 
 
Minimum Qualifications 
 
7+ years of industry experience as a data engineer serving various ML applications (vision domain preferred) 
 
Bachelor's degree in Computer Science or related field 
 
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 $181,100 and $318,400, 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.

Senior ML Data Engineer, ISE

Granite Telecommunications

<div>Summary of Position:

he Cloud Data Ops team is hiring a Senior Cloud DBA &amp; Data Platform Engineer who brings deep, hands-on DBA expertise across SQL Server, Postgres (w/Timescale) and Oracle, combined with strong cloud-native skills in GCP and AWS. This role is responsible for performance tuning, cloud platform operations, automation, and ensuring the reliability of mission-critical relational and time-series data systems across multiple clouds.

Duties and Responsibilities:

Core DBA Responsibilities (SQL Server &bull; Postgres &bull; Oracle &bull; TimescaleDB)
<ul>
<li>Perform advanced DBA duties including installation, configuration, patching, backup/restore, HA/DR,
 
and security hardening across SQL Server, Postgres, Oracle, and TimescaleDB.</li>
<li>Diagnose and tune performance using execution plans, indexing strategies, wait event analysis, and I/O
 
profiling.</li>
<li>Optimize relational and time series workloads, including hypertables, chunk management, retention
 
policies, and compression strategies in TimescaleDB.</li>
<li>Implement schema changes, index strategies, and query rewrites to improve workload efficiency.</li>
<li>Support database lifecycle management across on prem, GCVE, and cloud native platforms</li>
<li>Partner with application, analytics, and engineering teams to optimize database driven workloads.</li>
</ul>
Cloud Native Data Platform Operations (GCP &amp; AWS)
<ul>
<li>Operate and optimize workloads on CloudSQL, BigQuery, AWS RDS/Aurora, and GCVE hosted SQL
 
Server.</li>
<li>Apply DBA fundamentals to cloud native services, ensuring performance, reliability, and cost efficiency.</li>
<li>Support migrations from on prem/VM based SQL Server, Oracle, and Postgres to managed cloud
 
services.</li>
<li>Implement observability across cloud platforms (Cloud Monitoring, CloudWatch, logs, metrics, traces).</li>
<li>Participate in multi cloud operational readiness, incident response, and performance engineering.</li>
</ul>
Linux &amp; Systems Engineering
<ul>
<li>Manage and troubleshoot Linux based Postgres, TimescaleDB, and Oracle environments.</li>
<li>Perform system level tuning (CPU, memory, I/O, kernel parameters) to support database performance.</li>
<li>Support containerized and orchestrated environments (Docker, EKS, GKE) where applicable.
</li></ul>Automation &amp; Cloud Data Ops Engineering
<ul>
<li>Automate DBA and operational tasks using bash, PowerShell, or Python.</li>
<li>Contribute to CI/CD workflows and infrastructure automation (Terraform preferred).</li>
<li>Improve reliability through scripting, monitoring, alerting, and self service tooling.</li>
<li>Participate in on call rotations for critical data systems.</li>
</ul>
Required Qualifications:
<ul>
<li>Strong, hands on DBA experience with SQL Server, Postgres, Oracle, and TimescaleDB.</li>
<li>Deep proficiency in SQL, performance tuning, indexing, execution plan analysis, and workload
 
optimization.</li>
<li>Experience operating databases in GCP (CloudSQL, BigQuery, GCE/GCVE) and/or AWS (RDS/Aurora).</li>
<li>Solid Linux skills, including bash scripting and system level troubleshooting.</li>
<li>Familiarity with observability and monitoring tools (pg_stat views, Query Store, Cloud Monitoring, CloudWatch, Zabbix, Datadog, etc.).</li>
<li>Ability to support mission critical production systems in a multi cloud environment.</li>
<li>Strong understanding of DBA fundamentals applied in cloud native and time series contexts.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience with Terraform, Azure DevOps (ADO), or other CI/CD/IaC tooling.</li>
<li>Exposure to EKS, GKE, or other Kubernetes platforms.</li>
<li>Familiarity with Docker and containerized database operations.</li>
<li>Experience with OCI or Oracle Cloud services.</li>
<li>Background in cloud migration, modernization, or hybrid cloud architectures</li>
</ul>
#LI-SR1

Requirements:
Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the &quot;Healthiest Companies&quot; in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a &quot;Fastest Growing Company&quot; by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled</div>

Senior Cloud Data Ops Engineer

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