data infrastructure engineer

Leidos

<div>Description
Leidos has a new and exciting opportunity for a Data Center Infrastructure Engineer in our Intel Sector's (NSS) Cyber &amp; Analytics Business Area (CABA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security!
Job Summary:
Join our team supporting a cutting-edge Cyber Program and make an impact by guiding the definition, implementation, and delivery of capability focused on U.S. CYBER COMMANDS (USCYBERCOM) Persistent Cyber Training Environment (PCTE). We are looking for a Data Center Infrastructure Engineer to join our team supporting the cutting-edge Cyber TRIDENT Program and make an impact by guiding the definition, implementation, and delivery of capability focused on Cyber Training systems. As a key player in our team, you will leverage your skills to provide expertise in infrastructure provisioning, configuration, and deployment across an agile lifecycle in a virtualized computing environment. Don't miss the opportunity to take your career to the next level and be part of an innovative and dynamic environment. Apply now! 
Responsibilities Include:
<ul><li>Network Infrastructure: Provide support with the design, implementation, operation, and maintenance of full stack data center infrastructure, including but not limited to: Compute, Storage, Networking, Power, Cabling, Racking, Virtualization, Containerization and physical facility infrastructure. Perform as a technical team member of Engineers in the maintenance (technical including VMware, Micro-Services, Networking, Security Services, etc.) of the platform and ensuring continuity of operations for our End Users. In this role you will need to foster a relationship of trust with our customers and the current in place technical staff.</li><li>
Network Maintenance: Automate, collect, process, and present, system performance, and other metric information to show improvements or degradation over time. Balance hybrid cloud distribution between private corporate infrastructure and public clouds. Work as part of a fast moving highly diverse team across multiple projects simultaneously.</li><li>
Team Leader: Contribute as part of a high performing team in an Agile development and execution paradigm providing insight into taskings to both the team and customer via Jira and Confluence.</li></ul>
Basic Qualifications:
<ul><li>Educational Background: Bachelor&rsquo;s degree and five (5) or more years of experience in a relevant field. Additional experience may be considered in lieu of degree. Effective interpersonal and communications skills. Effective interpersonal and communications skills to convey and present system performance info, to mentor colleagues, and to interface effectively with vendors, customers, and team partners.</li><li>
Development Experience: Well-versed with Linux system management, specifically with Red Hat OS including Identity Management (IdM) and Single Sign On (SSO). Experience with scripting (Ansible, Python, Bash, Puppet, PowerShell). Ability to navigate Docker, Kubernetes, OpenShift, Git and Kustomize.</li><li>
Software/Network Development: Understanding of Cisco networking technologies such as the following. Switching (Cisco Nexus (7k&rsquo;s, 5k&rsquo;s, 2k&rsquo;s, 9k&rsquo;s, Catalyst 4k&rsquo;s, VLAN&rsquo;s, STP, RSTP, VPC, VPC+, OTV, VXLAN), Routing technologies (ASR, ISRG2, EIGRP, BGP, redistribution, summarization), IP (IPV4 &amp; IPV6, NAT, ACL&rsquo;s, DNS, DHCP), Multicast protocols (PIM SM/DM/SSM), and Cisco IOS. Experience with F5 / BIG IP physical and virtual network devices. Ability to solve technical problems involving a variety of integrated software and hardware platforms.</li><li>
Security Clearance Requirement: Active Secret clearance, with an ability to obtain a TS/SCI Security Clearance.</li></ul>
Preferred Qualifications:
<ul><li>Experience with Ansible (or similar) infrastructure automation to deploy and configure standard baselines for physical devices and in a virtual environment (VMware and Linux).</li><li>
Utilize scripting for automating tasks, administration, data collection and reporting. This job requires the ability to write, test, debug, deploy, and maintain scripts.</li><li>
Ability to audit and report system and performance logs.</li><li>
Ability to automate, administer and maintain the environment through configuration management, version control, and backups with the use of scripting.</li><li>
Ability to research and/or implement new technologies.</li><li>
Professionally convey system-wide performance information routinely via tools such as PowerPoint, Excel, Visio, etc.</li><li>
Examine any relevant change implementation, then report the changes to developers and testers welcoming feedback for future improvements.</li><li>
Ability to solve technical problems involving a variety of integrated software and hardware platforms.</li><li>
Knowledge of or experience with the DoD Risk Management Framework (RMF) and National Institute of Standards and Technology (NIST) or similar best practices and security guidelines.</li><li>
Knowledge of or experience with managing, provisioning, deploying, and orchestrating infrastructure specifications through Infrastructure as Code (IaC) platforms such as Ansible and/or Terraform.</li></ul>
At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you &ndash; apply today.
Careers.leidos.com
CONMD
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo &mdash; because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 &mdash; and moving faster than anyone else dares.<h2 class="jobSectionHeader">
Original Posting:</h2>
July 29, 2026 
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.<h2 class="jobSectionHeader"> 
Pay Range:</h2>
Pay Range $73,450.00 - $132,775.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
About Leidos
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.
Pay and Benefits
Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.
Securing Your Data
Beware of fake employment opportunities using Leidos&rsquo; name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system &ndash; never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.</div>

Data Center Infrastructure Engineer

BV Teck

<div>AI Data Engineer &ndash; Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: AI Data Engineer 
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $80,000&ndash;$100,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an AI Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency. 
 
Required Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science or a related field.</li><li>
Six or more years of data engineering experience, with significant work supporting ML or AI workloads.</li><li>
Strong proficiency in Python and at least one JVM or systems language.</li><li>
Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.</li><li>
Hands-on experience operating petabyte-scale storage and pipeline systems.</li><li>
Strong understanding of distributed systems, data modeling, and storage formats.</li><li>
Experience with dataset versioning, lineage, and reproducibility for ML workflows.</li><li>
Familiarity with high-throughput data loading for accelerator-based training.</li><li>
Strong software engineering practices including testing, CI/CD, and code review.</li><li>
Excellent communication and cross-functional collaboration skills.</li></ul>
Preferred Qualifications<ul><li>
Experience with multimodal datasets at large scale.</li><li>
Familiarity with data quality tooling and dataset evaluation methodology.</li><li>
Exposure to privacy-preserving data systems and regulated data handling.</li><li>
Open-source contributions to data infrastructure projects.</li><li>
Experience supporting frontier model training pipelines.</li></ul>
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com. Learn more about Bright Vision Technologies at www.bvteck.com. 
Bright Vision Technologies is an Equal Opportunity Employer. 
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
uhGSEclIc7</div>

AI Data Engineer

CIRCLE Women Association

<div>
 
 Job Description
 
 
 
 CIRCLE 2.0 is that infrastructure. We are looking for a Data Engineer to join our Platform team.
 
 
 Not someone who runs reports. Someone who reads signals &mdash; and understands that behind every SQL query is a woman whose behavior, capability, and economic identity we are trying to understand and serve better.
 
 
 
 What you will do:
 
 
 
 - Own and build data pipelines and reporting systems using SQL and Google BigQuery
 
 - Maintain and improve integrations across APIs, webhooks, Turn, and automated workflows
 
 - Work with Turn's DSL-based logic and AI-enabled systems to strengthen data capture and platform intelligence
 
 - Ensure data quality, reliability, and consistency across all systems
 
 - Translate raw data into clear insights that inform product, operations, commerce, and supply chain decisions
 
 
 
 What we&rsquo;re looking for
 
 
 
 - 3&ndash;5 years in data engineering, analytics engineering, or platform operations
 
 - Strong SQL skills and hands-on experience with Google BigQuery
 
 - Comfortable with Python, ETL/ELT processes, APIs, webhooks, and data systems
 
 - Experience building or scaling online commerce and/or supply chain platforms is highly valuable
 
 - /Familiarity with Turn, DSL-based systems, and AI-powered workflows is a strong plus
 
 
 More than the technical stack, we want someone curious, ambitious, and uncomfortable with the status quo. Someone who sees patterns where others see noise &mdash; and understands that data is ultimately about people, journeys, and outcomes.
 
 
 We are not hiring for a task. We are hiring for a stake.
 
 
 This is a founding-team seat. CIRCLE is entering its next phase of growth &mdash; expanding beyond borders &mdash; and the systems you build today will shape decisions for years to come.
 
 
 If building data infrastructure for impact excites you more than maintaining reports, we'd love to hear from you. Tell us what you have built, what you have learned, and why data matters to you.
</div>

Data Engineer

hims & hers

<div>Hims &amp; Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer first and delivering access to care that is affordable, accessible, and personal, from diagnosis to treatment to delivery. No two people are the same, so we provide access to personalized care designed for results. By normalizing health &amp; wellness challenges and innovating on their solutions, we&rsquo;re making better health outcomes easier to achieve.
Hims &amp; Hers is a public company, traded on the NYSE under the ticker symbol &ldquo;HIMS.&rdquo; To learn more about the brand and offerings, you can visit hims.com/about and hims.com/how-it-works . For information on the company&rsquo;s outstanding benefits, culture, and its talent-first flexible/remote work approach, see below and visit www.hims.com/careers-professionals.<h2 class="jobSectionHeader">
About the Role:</h2>
We're looking for a Staff Data Engineer to join the Data Platform Engineering team at Hims &amp; Hers as a key technical driver for our most critical platform initiatives. Your scope spans multiple squads: you will drive shared architectural decisions, enhance cross-team reliability, and improve the overall developer experience for a team of nine engineers building the infrastructure that powers patient care for millions of Hims &amp; Hers subscribers. 
This is a hands-on execution role. You will own large, complex deliverables end-to-end - from design through production - across our full stack: BigQuery, dbt, Airflow on Astronomer, Confluent Kafka, Databricks, Fivetran, and Terraform/OpenTofu. You will be the DRI (Directly Responsible Individual) for cross-squad initiatives and the engineer other Senior DEs look to for technical direction and growth.<h2 class="jobSectionHeader">
You Will:</h2><ul><li>
Serve as DRI for high-complexity, multi-sprint platform initiatives - Fivetran connector buildouts, Databricks Lakehouse migration workstreams, event streaming infrastructure, lower environment implementation, and engineering standards adoption</li><li>
Architect, build, and maintain production-grade ingestion pipelines and platform infrastructure - from source connectivity through Bronze/Silver layers - that Analytics Engineering, Data Science, and business teams build on daily</li><li>
Design, implement, and operate event-driven and streaming data pipelines using Kafka, PySpark, and Databricks Structured Streaming - including defining scaling strategies, cost guardrails, consumer lag alerting, and runbooks before those services reach production</li><li>
Own the ingestion and raw-to-cleansed layer (Bronze to Silver) data contracts, schema governance, and SLAs</li><li>
Own data quality for pipelines you build: write dbt tests, wire anomaly detection, validate schemas, and alert on data drift - pipelines ship with quality gates, not after them</li><li>
Own the reliability of systems you build: establish KPIs and SLOs, implement Datadog monitoring and alerting as code, participate in the on-call rotation, and own Tier 1 operational tickets and runbooks for systems under your domain</li><li>
Own the integration and data activation layer - Fivetran connectors and Hightouch reverse ETL pipeline connectors - end-to-end from IaC provisioning to production monitoring and schema change governance</li><li>
Support Analytics Engineers, Data Scientists, and ML engineers by building platform capabilities and data pipelines that unblock their roadmap; partner with legal, security, and DevOps on compliance controls and IaC hardening as needed. DE's responsibility is the platform layer and data delivery; transformation logic and model readiness for serving are owned by Analytics Engineering</li><li>
Identify and resolve systemic inefficiencies across DPE-owned pipelines and infrastructure - root cause, not just symptom</li><li>
Mentor Senior Data Engineers through design reviews, code reviews, and pairing; help them grow from squad-level to cross-squad scope</li><li>
Contribute to and drive adoption of engineering standards - testing practices, CI/CD patterns, observability-as-code, Schema Registry governance - and participate in ARC reviews for changes with cross-team or cost impact</li></ul><h2 class="jobSectionHeader">
You Have:</h2><ul><li>
8+ years of professional experience designing, building, and operating data pipelines and platform infrastructure</li><li>
Experience with CDC (Change Data Capture) patterns for real-time ingestion.</li><li>
Experience with Flink for stream processing</li><li>
Experience governing and administering dbt in a production BigQuery or Databricks environment - CI/CD configuration, testing standards, documentation standards, and platform-level schema governance. Hands-on dbt experience for ingestion-layer (Bronze/Silver) pipelines</li><li>
Experience building and operating Airflow DAGs at scale - task-level orchestration patterns, DAG reliability, and multi-priority scheduling</li><li>
Experience building event streaming pipelines using Kafka or Confluent Kafka - producers, consumers, schema evolution, Schema Registry governance, and consumer lag management</li><li>
Multi-cloud fluency across GCP and AWS - both are required day-to-day: BigQuery runs on GCP, Airflow runs on AWS EKS</li><li>
Experience owning data quality for production pipelines - dbt tests, anomaly detection, alerting on schema changes and data drift</li><li>
Experience with Fivetran or equivalent connector platform - IaC provisioning, schema change handling, and connector health monitoring</li><li>
Experience with the Databricks platform - Delta Lake, Databricks Workflows, and Unity Catalog</li><li>
Familiarity with data compliance in a regulated environment - HIPAA/PHI handling, access controls, and audit logging</li><li>
Infrastructure-as-code experience - Terraform or equivalent; you treat infrastructure changes like code changes</li><li>
Strong Python and SQL skills; comfortable writing, reviewing, and raising the bar on production-grade pipeline code</li><li>
Strong design instincts: you take ambiguous requirements, write clear solution designs, and ship to production with minimal rework</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications:</h2><ul><li>
PySpark/SparkSQL for large-scale data processing</li><li>
Experience with Hightouch or equivalent reverse ETL platform</li><li>
Experience with MLOps - supporting ML engineers with data pipelines for model training, feature stores, or experimentation</li><li>
Familiarity with Looker LookML or equivalent BI serving layer</li><li>
Go experience for Kafka service development</li><li>
Experience at a direct-to-consumer healthcare, telehealth, or similarly regulated company</li><li>
Familiarity with UK/GDPR data compliance requirements distinct from US HIPAA</li></ul><h2 class="jobSectionHeader">
Our Benefits (there are more but here are some highlights):</h2><ul><li>
Competitive salary &amp; equity compensation for full-time roles</li><li>
Unlimited PTO, company holidays, and quarterly mental health days</li><li>
Comprehensive health benefits including medical, dental &amp; vision, and parental leave</li><li>
Employee Stock Purchase Program (ESPP)</li><li>
401k benefits with employer matching contribution</li><li>
Offsite team retreats</li></ul>
We are committed to building a workforce that reflects diverse perspectives and prioritizes ethics, wellness, and a strong sense of belonging. If you're excited about this role, we encourage you to apply&mdash;even if you're not sure if your background or experience is a perfect match.
Hims considers all qualified applicants for employment, including applicants with arrest or conviction records, in accordance with the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act, and any similar state or local fair chance laws.
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.
Hims &amp; Hers is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at accommodations@forhims.com and describe the needed accommodation. Your privacy is important to us, and any information you share will only be used for the legitimate purpose of considering your request for accommodation. Hims &amp; Hers gives consideration to all qualified applicants without regard to any protected status, including disability. Please do not send resumes to this email address.
To learn more about how we collect, use, retain, and disclose Personal Information, please visit our Global Candidate Privacy Statement.
Compensation Range: $170K - $200K</div>

Staff Data Engineer

Apple

At Apple, the content that reaches hundreds of millions of people: music, films, books, podcasts, and apps, is underpinned by sophisticated data systems that run quietly and reliably at scale. The ASE Content Data Engineering team builds and maintains the reporting infrastructure, data pipelines, and data models that keep Apple's online media platform informed, compliant, and moving forward. 
 
We are looking for a Software Development Engineer - Data to join our Reporting &amp; Data Models team. In this role, you will modernize and automate legacy data pipelines, build new reporting solutions, maintain a large and complex reporting estate across Oracle and cloud-native platforms, and help deliver compliance extracts that meet real-world legal deadlines across multiple jurisdictions. If you enjoy working on systems that matter, where your engineering choices directly impact operational accuracy, regulatory compliance, and business intelligence for one of the world's largest media platforms, we would love to hear from you. 
 
Description 
 
The ASE Content Data Engineering team is responsible for the internal business intelligence infrastructure that powers Apple's online media store. The data models and reports developed by this team supply information to engineering, business operations, and external content providers regarding the status of online media, including workflow status, availability, and incoming and outgoing volume. 
 
This engineer will own and evolve a large portfolio of data pipelines and reporting systems, driving the ongoing migration from legacy infrastructure to modern pipeline orchestration and cloud-based storage, while also delivering net-new reports and data models in response to business, engineering, and regulatory needs. The role demands a blend of engineering rigor, data fluency, and a strong reliability mindset: the team's reports directly support legal and compliance obligations with hard, externally-imposed deadlines. 
 
The ideal candidate brings a bias toward automation and self-healing pipelines over manual intervention, and is comfortable managing a broad portfolio of concurrent work, balancing urgent pipeline fixes against longer-horizon migration and enhancement projects. They can independently troubleshoot and resolve ambiguous, production-impacting issues under time pressure, and communicate technical findings clearly to non-engineering stakeholders across legal, business operations, and content provider teams. Knowledge of or genuine curiosity about online media is a plus.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and maintain automated data pipelines and reporting systems across a hybrid stack spanning Oracle, Spark, Hadoop, and cloud object storage 
 
Drive the migration of legacy report jobs to modern pipeline orchestration and cloud infrastructure, ensuring reliability, observability, and maintainability 
 
Investigate and resolve pipeline failures, performance bottlenecks, and data quality issues across a large, interdependent reporting estate covering all content domains 
 
Develop and maintain legal and regulatory-compliance reports where accuracy, auditability, and on-time delivery are non-negotiable 
 
Onboard and publish curated datasets from operational data stores to the Apple Data Lakehouse, ensuring proper data governance, lineage documentation, and PII tagging 
 
Extend and enhance internal content data platform models across all content domains: propagating schema changes, adding new columns and descriptors, and maintaining the accuracy of the platform's content-intelligence surface 
 
Execute controlled, legally-gated production data modifications and archival/deletion programs under change control and with required legal approval 
 
Contribute to the evolution of AI-assisted data tooling (e.g., Text-to-SQL), automating and accelerating how stakeholders access and query content data 
 
Preferred Qualifications 
 
Familiarity with Iceberg / Parquet-based table formats 
 
Proficiency in macOS and Linux server environments 
 
Experience using GenAI tools (e.g., Claude, OpenAI tools) to accelerate engineering tasks 
 
Familiarity with cloud object storage migration patterns (HDFS to S3) 
 
Experience with EKS or other cloud-based compute platforms 
 
Familiarity with Trino or other distributed SQL query engines 
 
Experience with Flink or Flink SQL for stream-based data processing 
 
Familiarity with GenAI-assisted data access patterns (e.g., MCP servers, Text-to-SQL, LLM-assisted data documentation) 
 
Familiarity with Tableau or similar data visualization and dashboarding tools 
 
Experience with shell scripting for automation and pipeline support 
 
Experience with Java development 
 
Minimum Qualifications 
 
Minimum 1 year of experience as a Software Engineer, Data Engineer, or equivalent role 
 
Strong experience with Spark and Spark SQL, including performance tuning and resource optimization 
 
Strong experience with Hadoop, HDFS, and/or S3-compatible object storage 
 
Hands-on experience with Python scripting for data processing and automation 
 
Experience writing SQL and PL/SQL on Oracle, including query optimization 
 
Experience building and maintaining automated data pipelines and job scheduling systems (e.g. Airflow) 
 
Experience with CI/CD workflows and version-controlled deployment of data pipeline code 
 
Hands-on experience with Kubernetes for container-based workload execution 
 
Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field OR Hands-on engineering experience and a demonstrable track record of building and maintaining production data systems are weighted equally alongside formal academic credentials. 
 
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 $150,400 and $225,300, 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.

Software Development Engineer - Data

AbbVie

<div>Company Description 
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube. 
Job Description 
The Data Engineer II will build, maintain, and optimize data infrastructure - like databases and data pipelines - that address cross-functional critical business needs. This role is expected to improve existing methods and processes by using various languages to pull and manipulate data, develop and maintain ETL pipelines, implement quality control and monitoring processes to maintain accurate data flows, maintain comprehensive documentation of process designs, test results, and pipeline configurations, etc. This hire is expected to demonstrate proficiency in information technology engineering, including data warehousing. 
Responsibilities<ul><li>
Independently design and develop data solutions to address business challenges.</li><li>
Demonstrate proficiency across a range of technologies related to programming languages, data integration, data warehousing, data visualization and data analysis.</li><li>
Responsible for building, maintaining, and optimizing data infrastructure.</li><li>
Ensure data is collected, processed, and stored efficiently and securely.</li><li>
Integrate different data sources and create the foundations on which analytics and data science can operate.</li><li>
Understand the broad objectives of projects as well as position's role in achieving objectives; modify approach when required.</li><li>
Escalate issues to ensure execution success and keeps stakeholders informed through effective verbal and written communication.</li><li>
Learn, understand and master new methods and technologies, and act as a resource or mentor for others.</li><li>
Produce and maintain required technical documentation associated with work products.</li><li>
Adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, data security, and the software development lifecycle.</li></ul> 

Qualifications 
Required Qualifications<ul><li>
Bachelor&rsquo;s degree - preferably in Computer Science or Data Science - and at least 5 years of relevant experience OR Master&rsquo;s degree in relevant field and at least 4 years of experience.</li><li>
Programming skills in Java, Python, R, or SQL.</li><li>
Hands-on experience in data engineering.</li></ul> 
Preferred Qualifications<ul><li>
Experience interacting with APIs to extract data.</li><li>
Hands-on experience using large language models and machine learning algorithms.</li><li>
Demonstrated experience applying AI/ML in clinical or pharmaceutical contexts.</li></ul> 

Additional Information 
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
<ul><li>The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
</li><li>We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
</li><li>This job is eligible to participate in our short-term incentive programs.
</li></ul>Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company&rsquo;s sole and absolute discretion, consistent with applicable law.
<div></div>AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US &amp; Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US &amp; Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html</div>

Data Engineer II

WW International, Inc. (Weight Watchers)

<div><div><h3 class="jobSectionHeader">WeightWatchers is a global digital health company.</h3>

WeightWatchers is a global digital health company and the world's #1 doctor-recommended, clinically studied behavioral weight health program. For sixty years, we have led the industry by blending science and community to help millions of people build sustainable healthy habits.

As the science of weight health rapidly evolves, so does WeightWatchers. We are redefining the category by developing new clinical pathways for GLP-1 medication access, creating specialized behavioral programs for members on weight-loss medications, and integrating medical care with our proven habit-change framework. By combining these clinical breakthroughs with our digital-first community, we are uniquely positioned to lead the future of weight health care.</div>
We are seeking a seasoned Senior Data Engineer to drive scale, performance, and actionability within our data ecosystem. You will strengthen and scale our Python and Snowflake-based infrastructure, building the core capabilities required to support dynamic analytics and our transition toward more automated, self-service data workflows.

We need an engineer who can adapt to a dynamic product environment, who can ask the 'why' behind the 'what' to ensure we are building the right solutions.
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Key Responsibilities</h3>
<ul><li>Data Enablement: Support the analytics layer by developing core Looker views and building out our agentic AI infrastructure to derive automated self-service capabilities and reduce reporting bottlenecks.</li>
<li>Pipeline Architecture: Design, build, and scale ELT pipelines that are resilient, efficient, and modular.</li>
<li>Cross-Functional Collaboration: Partner with Finance, Product, and Analytics to ensure our data models solve the right problems.</li>
<li>Data Modeling: Build and maintain analytics schemas (including Star Schemas) that abstract complex logic into user-friendly datasets.</li>
<li>End-to-End Ownership: Lead projects from inception to production, taking accountability for data integrity and the trustworthiness of the platform.</li>
<li>Operational Excellence: Monitor production health using monitoring tools (e.g. Datadog, Monte Carlo) ensuring our data ecosystem remains robust and reliable.</li>
<li>Technical Leadership: Act as a technical lead, conduct code reviews, define engineering culture, and champion best practices.</li>
</ul><h3 class="jobSectionHeader">Requirements</h3>
<ul><li>Experience: 5+ years in data engineering, with at least 2+ years focused on distributed, large-scale cloud data warehouses.</li>
<li>Snowflake Expertise: Proven experience with Snowflake performance optimization and cost-governance. Familiarity with Snowflake Cortex/MCP is a plus.</li>
<li>Technical Mastery:</li>
<li><ul><li>Advanced Software Engineering (Python): Deep proficiency in Python, with a focus on writing modular, reusable, and testable code (unit/integration tests) for complex data processing.</li>
<li>Data Modeling &amp; SQL Mastery: Expert-level SQL and a sophisticated understanding of data warehousing methodologies to build performant, scalable analytics layers.</li>
<li>Infrastructure &amp; Automation: Practical experience with modern CI/CD frameworks (e.g., GitHub Actions, Argo CD) to drive engineering velocity and platform stability.</li>
<li>Workflow Orchestration: Expertise in architecting and scaling orchestration-as-code workflows (e.g., Prefect or Airflow) to manage complex dependencies and ensure pipeline resilience.</li>
<li>Observability &amp; Reliability: Deep proficiency in deploying monitoring and alerting frameworks (e.g., Datadog) to maximize system uptime while mitigating alert fatigue.</li>
</ul></li><li>Operational Maturity: Experience managing business-critical production pipelines with a focus on uptime, data quality, and defining SLAs.</li>
<li>Education: BS/MS in Computer Science, Information Systems, or a related technical field.</li></ul><div> 
At WeightWatchers, our mission is to build a worldwide community connected by healthy habits. If that resonates with you, then we would love to talk. WeightWatchers values developing community within our employee population as well. We have a hybrid work environment to allow our employees to find the right work-life balance.

It is our priority to cultivate a diverse and inclusive workplace. We are committed as individuals, as an organization, and as fellow humans, to advocate for and support our employees, our members, and our communities. We are proud to be an equal opportunity employer and we do not discriminate on the basis of sex, race, color, creed, national origin, marital status, age, religion, sexual orientation, gender identity, gender expression, veteran status, or disability.

By agreeing to participate in our process, you agree that any information we collect is subject to our Privacy Policy. 

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<div>Maryland</div>
Under Maryland law, an employer may not require or demand, as a condition of employment, prospective employment, or continued employment, that an individual submit to or take a polygraph examination or similar test. An employer who violates this law is guilty of a misdemeanor and subject to a fine not exceeding $100.</div>
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<div>Massachusetts</div>
<div>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> 
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<div></div><div>WeightWatchers complies with all applicable Rhode Island Workers' Compensation laws (Chapters 29-38 of the R.I. General Laws). Eligible employees are covered by worker's compensation insurance for work-related injuries or illness.</div>
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</div><h3 class="jobSectionHeader">RECRUITMENT SECURITY &amp; FRAUD PREVENTION</h3>

At WeightWatchers, we prioritize the security of our candidates. To ensure you are communicating with a legitimate representative of our team, please keep the following security standards in mind:
<ul>
<li>Verified Email Domain: All official correspondence from our recruiting team will originate from an @ww.com email address.</li>
<li>Live Engagement: Our hiring process requires live interaction. We do not conduct interviews or extend employment offers solely through text message, chat apps, or automated email-only exchanges.</li>
<li>Financial Integrity: WeightWatchers will never ask for any form of payment from a candidate. We will never send you a check with instructions to purchase equipment or &quot;start-up kits&quot; on our behalf.</li>
<li>Secure Data Collection: Sensitive personal information (such as banking or identity tax info) is only requested through our official, secure onboarding portal after a formal offer has been extended, never during the interview phase.</li>
</ul>
Stay Vigilant: If you are contacted by someone claiming to represent WeightWatchers and the process deviates from these standards, please do not share any personal information. You can verify any open position by visiting our official careers page at https://job-boards.greenhouse.io/ww</div></div>

Senior Data Engineer

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