data engineering lead

Deloitte

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  Data Engineering Tech Lead, Cairo, Egypt
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  Connect to your career at Deloitte
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 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
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 Deloitte innovation hub (DIH) is a strategic initiative established to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
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 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
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  Connect to your opportunity
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   Identify and solve complex problems using a structured and logical approach.
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   Stay up to date on the latest data engineering technologies and trends.
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   Work with other engineering teams to integrate data engineering solutions with other systems.
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   Maintain and optimize data systems to ensure high availability and performance.
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   Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.
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   Gather requirements from stakeholders and translate them into technical specifications.
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   Lead a team of data engineers in the design, development, and implementation of data engineering solutions.
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   Manage functional and non-functional requirements and have a deep understanding of systems engineering methodologies.
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   Build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.
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   Manage multiple projects simultaneously in a highly organized and efficient manner.
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   Think creatively and come up with new solutions to problems.
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   Communicate effectively with technical and non-technical audiences, both verbally and in writing.
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  Technical Skills
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  Connect to your skills and professional experience
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   7+ years of relevant experience.
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   Cloud computing platforms: AWS/Azure/GCP
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   Programming languages: Python/Java/Scala &amp; Unix Shell scripting
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   Data warehouse technologies: Redshift/Snowflake/Big Query
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   Data lake technologies: Hadoop, Apache Beam, Spark, and Hive
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   Orchestration: Airflow/Control-M/(Any Orchestration tool)
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   Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn
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  Connect to your service line - Technology &amp; Transformation
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 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
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  Personal independence
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 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.
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  Connect to your Industry
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 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo;
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   Dan, Technology and Transformation
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  Our commitment to you
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 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
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 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
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 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
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  Connect to your next step
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 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
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Deloitte Innovation Hub I Data Engineering Tech Lead, Cairo, Egypt

The Institute of Internal Auditors

<div><h1 class="jobSectionHeader"><b>Technical Platform Lead</b></h1><p><b>
Location:</b> Lake Mary, FL (Hybrid)<br>
<b>Department:</b> Technology, Product &amp; Experience (TPX)<br>
<b>Reports To:</b> Senior Director, Enterprise Platforms &amp; Automation<br>
<b>Status:</b> Full-Time | Exempt</p><h2 class="jobSectionHeader"><b>
About The IIA</b></h2><p>
The Institute of Internal Auditors (IIA) is the global leader and recognized authority for the internal audit profession. We are dedicated to advancing the profession worldwide through education, advocacy, certifications, and professional resources. Guided by our values of People First, Integrity, Collaboration, Accountability, and Innovation, we provide a collaborative, purpose-driven workplace where employees can grow professionally while making a global impact.</p><h2 class="jobSectionHeader"><b>
Why Join The IIA?</b></h2><ul><li>
Make a global impact by advancing the internal audit profession.</li><li>
Work in a collaborative, values-driven culture.</li><li>
Be part of an organization that values innovation and continuous learning.</li><li>
Grow your career while contributing to meaningful work that strengthens organizations around the world.</li><li>
Join a team committed to integrity, accountability, and putting people first.</li></ul><h2 class="jobSectionHeader"><b>
Position Summary</b></h2><p>
The Technical Platform Lead is a hands-on engineering leader responsible for guiding IIA's platform, integration, and data engineering initiatives while leading and developing a team of engineers. This player-coach role combines technical leadership with people management, driving the design, development, and delivery of scalable cloud solutions that power the organization's digital ecosystem.</p><p>
Working across Azure, Databricks, APIs, and enterprise SaaS platforms, you'll help shape the future of IIA's technology landscape while fostering engineering excellence, innovation, and AI-enabled development practices.</p><h2 class="jobSectionHeader"><b>
Work Arrangement</b></h2><p>
This is a <b>hybrid</b> position based in <b>Lake Mary, Florida</b>, combining in-office collaboration with remote work.</p><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><ul><li>
Lead a team of engineers through coaching, mentoring, performance management, and technical leadership.</li><li>
Establish engineering standards and best practices for cloud platforms, integrations, APIs, and data engineering.</li><li>
Design and deliver scalable solutions using Azure Integration Services, Databricks, and modern cloud technologies.</li><li>
Guide development of enterprise integrations connecting Dynamics 365 and other SaaS platforms.</li><li>
Build and enhance data platforms that support analytics, reporting, and AI-driven capabilities.</li><li>
Champion AI-assisted development, automation, DevSecOps, and continuous improvement across engineering teams.</li><li>
Partner with architects, product managers, security, and business stakeholders to deliver secure, scalable technology solutions.</li><li>
Contribute hands-on to architecture, code reviews, technical design, and complex engineering initiatives as a player-coach.</li></ul><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><h3 class="jobSectionHeader"><b>
Required Qualifications</b></h3><ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).</li><li>
8+ years of software, platform, or cloud engineering experience, including 2+ years leading or managing technical teams.</li><li>
Strong experience with Azure cloud services, API design, systems integration, and enterprise application development.</li><li>
Experience with data engineering concepts, SQL, Databricks, Spark, or similar modern data platforms.</li><li>
Hands-on experience with C#/.NET or comparable development frameworks.</li><li>
Knowledge of CI/CD, DevSecOps, infrastructure as code, automated testing, and cloud engineering best practices.</li><li>
Excellent communication, leadership, and stakeholder management skills.</li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li>
Experience with Azure Integration Services, Dynamics 365, Databricks, Microsoft Entra External ID, and Power BI.</li><li>
Experience implementing AI-assisted software development practices.</li><li>
Experience within a membership association, nonprofit, or professional services organization.</li><li>
Microsoft Azure and Databricks certifications are a plus.</li></ul><h2 class="jobSectionHeader"><b>
Equal Opportunity Employer</b></h2><p>
The Institute of Internal Auditors is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace where all employees are valued, respected, and empowered to succeed.</p></div>

Technical Platform Lead

Reprise Financial

<div><p><b>Please Note: Currently, and for the foreseeable future, Reprise Financial is unable to provide visa sponsorship or support for employment authorization. If your ability to work in the U.S. requires current or future visa sponsorship, this role may not be suitable. If your circumstances change in the future, we encourage you to reach out directly regarding other opportunities.</b></p><p>
Reprise Financial is on a mission to simplify the financial journey for our customers, making personal loans accessible and transparent. We leverage technology and a customer-first approach to provide fast, reliable personal loans of up to $25,000, ensuring our clients receive the support they need without hidden fees or complex terms. Our commitment to integrity and clarity allows us to foster trust and empower individuals to take control of their finances.</p><p>
At Reprise Financial, we foster a workplace built on innovation, collaboration, and kindness. Our mission to simplify the financial journey for our customers inspires us to exceed expectations and make a meaningful impact.</p><p>
We provide the tools, resources, and support for employees to thrive in a dynamic, customer-focused environment. Transparency, continuous improvement, and open communication drive our culture of trust and excellence, where new ideas are valued, and growth is encouraged.</p><p>
Join Reprise Financial and be part of a team where your contributions are recognized, and you have the opportunity to innovate, grow, and make a positive difference.</p><p></p><p><b>
About the role</b></p><p>
At Reprise Financial, we're building a data-driven culture where trusted, accessible, and scalable data powers every decision. As the IT Senior Manager of Data Engineering,<b> </b>you'll lead the Data Operations team within IT Enterprise Data Management function responsible for ensuring the most critical data processes run accurately and efficiently ensuring data is used as a strategic asset&mdash;ensuring the platforms, pipelines, and processes behind our business are reliable, efficient, and scalable across the enterprise.</p><p>
This is a hands-on technical leadership role for someone who thrives at the intersection of technology, people, and processes. You'll lead a team of highly technical data professionals, driving automation, modern data practices, and operational excellence while partnering closely with Engineering, Reporting, Analytics, and business leaders. The ideal candidate is passionate about building high-performing teams, solving complex data challenges, driving operational efficiencies, and creating scalable solutions that enable the business to move faster and make smarter decisions.</p><p></p><p><b>
Key Responsibilities</b></p><ul><li><p>
Lead and develop a high-performing Data Operations team through coaching, mentorship, and performance development.</p></li><li><p>
Oversee the reliability, availability, and quality of enterprise data through effective management of data pipelines, integrations, and operational processes.</p></li><li><p>
Ensure data governance standards, policies, and best practices are in place that promote data integrity, consistency, and responsible data use.</p></li><li><p>
Partner with Engineering, Reporting, Analytics, and business leaders to prioritize and deliver data processes and efficiencies aligned with organizational goals.</p></li><li><p>
Drive automation, modernization, and continuous improvement initiatives that enhance scalability, efficiency, and operational excellence.</p></li><li><p>
Oversee performance, scalability, and security of data platforms and tools that support business operations and analytics.</p></li><li><p>
Lead incident management, root-cause analysis, and resolution of data-related issues while implementing preventative measures to reduce future risk.</p></li><li><p>
Define and monitor key operational metrics and service levels to measure team effectiveness and identify opportunities for improvement.</p></li></ul><p></p><p><b>
Skills, Knowledge, and Expertise</b></p><ul><li><p>
Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or relevant technical degree (equivalent experience considered in lieu of degree).</p></li><li><p>
6+ years of experience in data engineering, data operations, analytics engineering, or a related technical discipline.</p></li><li><p>
2+ years of experience leading or managing technical teams and developing team members.</p></li><li><p>
Experience building, optimizing, and supporting modern data ecosystems, including ETL/ELT pipelines, data warehouses, data lakes, and analytics platforms.</p></li><li><p>
Experience applying modern software engineering practices, including version control, CI/CD, testing frameworks, and DevOps methodologies.</p></li><li><p>
Expertise of data operations processes, data orchestration, workflow automation, job scheduling, and monitoring tools.</p></li><li><p>
Expertise with SQL Server data platforms, ETL/ELT, services, and scheduling (SQL Server required).</p></li><li><p>
Expertise with cloud-based data platforms and services (Azure or Fabric required).</p></li><li><p>
Expertise in SQL, data modeling, database, and data warehouse design principles.</p></li><li><p>
Strong analytical, problem-solving, and decision-making skills with a focus on delivering scalable solutions.</p></li><li><p>
Excellent communication skills with the ability to translate complex technical concepts into actionable business insights.</p></li><li><p>
Demonstrated ability to lead cross-functional initiatives and partner effectively with technical and business stakeholders.</p></li><li><p>
Experience within financial services, lending, fintech, or other highly regulated industries preferred.</p></li><li><p>
Experience in a Data Operations role as a lead or manager preferred.</p></li></ul><p></p><p><b>
Location</b></p><p>
This position is fully remote, allowing you to work from anywhere that suits you best! While you&rsquo;ll primarily work from home, you are always welcome to visit our office in Irving, TX, whenever you choose. We encourage our remote team members to stay connected through regular virtual meetings and team events. All team members must reside in one of our approved locations by their start date, ensuring you remain part of our collaborative community.</p><p></p><p><b>
Compensation</b></p><p>
For this role our salary range is $120,000 to $150,000, depending on relevant experience. This role will also be eligible to receive a variable annual bonus based on both company and individual performance.</p><p></p><p><b>
Benefits That Support Your Success</b></p><ul><li><p><b>
Stay Healthy &amp; Happy</b>: Comprehensive medical, dental, and vision coverage, contributions to a Health Savings Account (HSA), and access to an Employee Assistance Program (EAP) to support your mental health and overall well-being.</p></li><li><p><b>
Secure Your Future</b>: Plan ahead with our 401(k) program, featuring a Safe Harbor Match (100% of the first 3% and 50% of the next 2%).</p></li><li><p><b>
Time That Works for You</b>: Recharge with accrued time off, company holidays, sick time, and <b>3 floating holidays</b>&mdash;perfect for celebrating your birthday, your dog&rsquo;s birthday, or just a random Tuesday!</p></li><li><p><b>
Support for Growing Families</b>: Our 12-week Paid Parental Leave ensures you have the time and support to focus on your family during life&rsquo;s biggest moments.</p></li><li><p><b>
Competitive Rewards</b>: Market-driven salary and bonus opportunities ensure your hard work is recognized and rewarded.</p></li><li><p><b>
Tools for Success</b>: Stay connected and productive with a robust tech package designed to help you deliver your best every day.</p></li></ul><p></p><p><b>
Our Core Values</b></p><ul><li><p><b>
Pursue Excellence:</b> We strive for the highest quality, ensuring our tools and services truly aid in our customers&rsquo; success.</p></li><li><p><b>
Make a Meaningful Impact:</b> We focus on delivering outcomes that genuinely improve financial well-being.</p></li><li><p><b>
Commit to Innovation:</b> Our innovative approach keeps us at the forefront of providing effective financial tools.</p></li><li><p><b>
Champion the Customer:</b> We prioritize our customers' financial goals, tailoring our tools to meet their unique needs.</p></li><li><p><b>
Collaborate with Purpose:</b> Our teamwork drives us to develop superior solutions that empower customers.</p></li><li><p><b>
Lead with Kindness:</b> Respect and empathy are central to our operations, creating a supportive environment for success.</p></li></ul><p></p><p><b>
Equal Employment Opportunity Employer</b></p><p>
At Reprise Financial, we are dedicated to fostering an inclusive community where every individual is valued. We are an Equal Employment Opportunity employer&mdash;ensuring that all qualified applicants and employees receive consideration for employment without regard to age, race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.</p><p>
We believe that diversity strengthens our organization and drives innovation, and we are committed to creating a workplace that reflects the rich variety of our communities.</p><p>
Compensation Range: $120K - $150K</p></div>

Senior Manager, Data Operations

Abbott

<div><p>Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.</p><p></p><p><b>
The Opportunity</b></p><p></p><p>
Abbott is seeking a highly skilled and strategic Lead Data &amp; Solutions Architect to support the development, management, and modernization of the enterprise data ecosystem that powers our next-generation business capabilities. This role will lead the design and implementation of scalable cloud-based data platforms, architecture standards, governance frameworks, and data products that enable enterprise-wide AI, analytics, and data-driven decision making.</p><p>
The ideal candidate combines deep technical expertise in Databricks, AWS, Azure, modern data architectures, and data engineering practices with strong business acumen and leadership capabilities. Healthcare and EMR/EHR experience is highly desirable as Abbott continues to expand the use of clinical, operational, and commercial data assets to accelerate innovation and business outcomes.</p><p></p><p><b>
What You'll Work On</b></p><ul><li>
Define and maintain enterprise-wide data architecture standards, principles, roadmaps, and governance frameworks.</li><li>
Lead the design and implementation of scalable cloud-native data platforms leveraging Databricks, AWS, Azure, and related technologies.</li><li>
Architect and oversee batch, streaming, and real-time data pipelines supporting analytics, AI, machine learning, and operational use cases.</li><li>
Partner with business, product, analytics, AI, and engineering teams to translate strategic objectives into scalable data solutions.</li><li>
Design and optimize Lakehouse architectures, enterprise data lakes, data warehouses, and data integration frameworks.</li><li>
Enable self-service data and analytics capabilities that improve accessibility, trust, and usability of enterprise data assets.</li><li>
Support enterprise AI initiatives by ensuring high-quality, governed, and scalable data foundations.</li><li>
Establish best practices for data modeling, metadata management, data lineage, master data management, and data quality.</li><li>
Drive automation of data workflows, orchestration processes, monitoring, and operational support to enable near real-time data access.</li><li>
Ensure data security, privacy, compliance, and governance across all platforms and data domains.</li></ul><ul><li>
Collaborate with cybersecurity, legal, and compliance teams to implement appropriate controls for sensitive and regulated data.</li><li>
Guide cloud strategy across AWS and Azure environments, ensuring scalability, reliability, cost optimization, and operational excellence.</li><li>
Mentor and provide technical leadership to data engineers, architects, and cross-functional technology teams.</li><li>
Conduct architecture reviews and technology assessments, identifying opportunities for modernization and innovation.</li><li>
Evaluate emerging technologies and industry trends to advance Abbott&rsquo;s data, analytics, and AI capabilities.</li><li>
Support enterprise initiatives involving healthcare, EMR/EHR, clinical, operational, and commercial data when applicable.</li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li>
Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related technical discipline.</li><li>
8+ years of experience in data architecture, solution architecture, data engineering, or related enterprise technology roles.</li><li>
5+ years of experience designing and implementing enterprise-scale cloud data platforms.</li><li>
Deep hands-on experience with Databricks, including:<ul><li>
Delta Lake</li><li>
Unity Catalog</li><li>
Databricks Workflows</li><li>
Databricks SQL</li><li>
Spark and PySpark</li><li>
Lakehouse Architecture</li></ul></li></ul><p></p><ul><li>
Strong expertise with AWS services such as S3, Glue, IAM, Redshift, Lambda, Kinesis, and Lake Formation.</li><li>
Strong expertise with Microsoft Azure services such as Azure Data Lake Storage (ADLS), Azure Data Factory, Synapse, Azure Key Vault, and Microsoft Purview.</li><li>
Extensive experience designing and implementing ETL/ELT frameworks, data pipelines, and cloud-native integration solutions.</li><li>
Strong understanding of data architecture patterns, distributed systems, data modeling, and enterprise integration concepts.</li><li>
Experience implementing data governance, security, compliance, encryption, access controls, monitoring, and auditing frameworks.</li><li>
Strong proficiency in SQL and Python.</li><li>
Proven ability to develop architecture standards and influence enterprise technology direction.</li><li>
Excellent communication, stakeholder management, and executive presentation skills.</li><li>
Demonstrated ability to lead complex cross-functional initiatives and technical teams.</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience within healthcare, medical device, pharmaceutical, payer, provider, or healthcare technology organizations.</li><li>
Experience working with EMR/EHR platforms and healthcare data standards, including FHIR and HL7.</li><li>
Familiarity with clinical, claims, patient, provider, and operational healthcare datasets.</li><li>
Experience architecting solutions that support AI, machine learning, GenAI, and advanced analytics initiatives.</li><li>
Experience with streaming technologies such as Kafka, Spark Structured Streaming, or equivalent platforms.</li><li>
Experience implementing self-service analytics and data product strategies.</li><li>
Knowledge of MLOps, AI governance, and modern AI platform architectures.</li><li>
AWS Certified Solutions Architect, Microsoft Azure Solutions Architect Expert, Databricks Certified Professional, or comparable certifications.</li><li>
Experience operating within regulated environments and supporting compliance requirements including HIPAA and other data privacy regulations.</li><li>
Experience working in a global, matrixed organization.</li></ul><p></p><p><b>
Apply Now</b></p><p>
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com</p><p>
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.</p><p>
Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and on Twitter @AbbottNews.</p><p>
Note: The responsibilities and qualifications above incorporate current enterprise data architecture expectations commonly seen in Databricks, cloud architecture, and AI-enablement leadership roles, including expertise in cloud data platforms, governance, security, architecture standards, self-service analytics, and enterprise AI strategy.</p><p></p><p><b>
Working at Abbott</b></p><p>
At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You&rsquo;ll also have access to:</p><ul><li>
Career development with an international company where you can grow the career you dream of.</li><li>
Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.</li><li>
An excellent retirement savings plan with a high employer contribution.</li><li>
Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor&rsquo;s degree.</li><li>
A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.</li><li>
A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.</li></ul><p><br>
The base pay for this position is $114,000.00 &ndash; $228,000.00. In specific locations, the pay range may vary from the range posted.</p></div>

Principal Data Architect

EXL Service

<div><p><b>Job Description: We are seeking an experienced Lead Data Engineer to support complex data engineering initiatives within our insurance data and analytics practice. This role combines deep technical expertise with strong coordination skills, working closely with onshore and offshore teams, business stakeholders, and project leadership to deliver enterprise data modernization and migration programs. The candidate will serve as a technical point of contact for cross-functional teams while remaining hands-on with cloud data technologies.
</b></p><p>Base Compensation Range: 90,000 &ndash; 140,000
</p><p>The posted range is the hiring range for this role &mdash; a subset of the broader range available to employees over time &mdash; and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
</p><p>For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits</p></div>
<br><div><p><b>Responsibilities: Technical Delivery
</b></p><ul><li>Design and implement end-to-end data pipelines using PySpark, Snowflake, and AWS cloud services
</li><li>Architect scalable ELT/ETL workflows and data warehouse models supporting insurance analytics use cases
</li><li>Drive data migration and modernization efforts from legacy environments to cloud-native platforms
</li><li>Develop and review complex SQL transformations, stored procedures, and data quality validation frameworks
</li><li>Establish and enforce data engineering standards, coding best practices, and pipeline documentation
</li><li>Provide hands-on troubleshooting and performance optimization across the data stack
</li></ul><p><b>Team Coordination &amp; Stakeholder Engagement
</b></p><ul><li>Coordinate day-to-day activities across onshore and offshore data engineering teams to ensure timely delivery
</li><li>Serve as a technical point of contact for business stakeholders, translating requirements into engineering deliverables
</li><li>Facilitate requirement-gathering sessions, sprint planning, and status updates with project teams
</li><li>Communicate project progress, risks, and dependencies to project managers and client stakeholders
</li><li>Mentor junior engineers and conduct code reviews to uphold quality standards
</li><li>Collaborate with data architects, analysts, and QA teams throughout the project lifecycle
</li></ul><div><p><b>Required Skills &amp; Qualifications
</b></p></div><p><b>Technical Skills
</b></p><ul><li>Deep experience with Snowflake including data modeling, performance tuning
</li><li>Proficiency with AWS services &mdash; S3, Glue, Lambda, EMR, Redshift, Step Functions, CloudWatch
</li><li>Strong experience building distributed data processing frameworks with Apache Spark / PySpark
</li><li>Advanced SQL skills &mdash; complex transformations, query optimization, and dimensional modeling
</li><li>Expertise in DWH design patterns &mdash; Kimball, Inmon, Data Vault, star and snowflake schemas
</li><li>Demonstrated experience leading or contributing to cloud migration and legacy modernization programs
</li><li>Familiarity with tools such as dbt, Apache Airflow, AWS Glue, or similar orchestration frameworks
</li><li>Solid Python programming for data engineering and automation tasks
</li></ul><p><b>Experience Requirements
</b></p><ul><li>6&ndash;9 years of progressive experience in data engineering
</li><li>Prior experience in insurance, financial services, or regulated industries preferred
</li><li>Experience coordinating distributed teams across time zones (onshore/offshore model)
</li><li>Demonstrated ability to engage with non-technical stakeholders and translate business requirements
</li></ul><p>Exposure to Agile/Scrum delivery methodology</p></div>
<br><p></p><div><ul><li>Qualifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field</li></ul></div><p></p>

Lead Data Engineer

EOG Resources

<div><div><div>Job Description</div></div>
<p></p><div><div>Job ID#:
</div><div><p>11362</p>
</div></div><div><div>Job Category:
</div><div><p>Information Systems</p>
</div></div><div><div>Position Type:
</div><div><p>Full Time, Regular</p><br>
</div></div><br>
<p></p><div><div><div><div>The Software Engineer Architect will be responsible for the following:</div><ul><li>
Creating and evangelizing data engineering standards and methodology at EOG.</li><li>
Leading &amp; guiding multiple teams and projects.</li><li>
Choosing and implementing different technology stack for various business data needs.</li><li>
Implementing &amp; supporting business driven tasks &amp; processes</li><li>
Data modeling business requirements.</li></ul><br>
<p></p>
</div></div></div><div></div><div><div>Job Requirements</div></div><br>
<p></p><div><div><div><ul><li>Bachelor's degree in Computer Science, Engineering or other equivalent technical degree with 8 yr data engineering or similar experience or Masters degree in equivalent field with 6 yr data engineering or similar experience.</li><li>
Should have experience in gathering business requirements and translating &amp; implementing into scalable, reliable &amp; distributed data engineering solutions.</li><li>
Should have experience in designing, implementing and supporting full life-cycle of software solutions.</li><li>
Should have worked with multiple teams to implement enterprise data engineering projects and mentoring team members.</li><li>
Should be expert in one or more technologies relevant to data engineering. Should have clear understanding and experience in relational &amp; non-relational databases.</li><li>
Should have design, implement &amp; manage experience in event driven, cloud based architectures and expertise in containerization and streaming technologies.</li></ul><div></div><div><br>
This position will be filled at a level commensurate with experience.</div><div>
</div><div><b>
EOG Resources is an Equal Opportunity Employer, including Veterans and Disabled.</b></div><br>
<p></p>
</div></div></div><br>
<br>
<div><div><b>Equal Employment is the Law</b><b><br>
</b><p><b>Requests for Accommodation</b><b><br>
</b></p><p>Individuals with a disability who wish to request an accommodation to complete an employment application, please Click here or call 713-651-6694.<br>
</p></div></div><p></p><div><div><br>
<br>
<br>
<div><div><p><b>** FRAUD ALERT ** If you are responding to a recruiting email, please ensure that the email has the domain @eogresources.com; if the email has a different domain DO NOT PROVIDE ANY INFORMATION. Instead, please contact Recruiting at </b><b>713</b><b>-651</b><b>-6694</b><b>.<br>
</b></p><b>
</b></div></div></div></div><br>
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Sr. Software Engineer Architect

The Museum of Modern Art

<div><p>The Museum of Modern Art is seeking an experienced Senior Data Engineer to be the technical owner of our data engineering team and the primary point of contact for departments and data analysts who rely on our data warehouse. This role guides and mentors the data engineers on technical standards and best practices, owns the relationship with stakeholders to make sure the data warehouse meets their needs, and serves as the resident expert on our data&mdash;how it is structured, how it relates, and how it should be used. This role requires a strong technical background, excellent problem-solving skills, and strong communication skills.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Serves as the technical anchor and mentor for the data engineering team, setting standards, reviewing work, and guiding design and architecture decisions.</li>
<li>Owns the relationship with other departments and data analysts, gathers their data needs, and ensures the data warehouse supports them.</li>
<li>Acts as the subject-matter expert on our data, advising analysts on how data is structured, how sources relate, and how best to query it.</li>
<li>Designs, develops, and maintains the data warehouse in Google Cloud Platform (GCP), ensuring scalability, performance, and reliability.</li>
<li>Builds and manage robust ELT pipelines to extract, transform, and load data from various sources into the data warehouse.</li>
<li>Defines and maintains data models that make data consistent and easy to understand for analysts and business users.</li>
<li>Manages and maintains databases, including MS SQL Server and PostgreSQL, ensuring data integrity and security.</li>
<li>Develops and maintains small software applications to support data management tasks and improve operational efficiency.</li>
<li>Collaborates with stakeholders to gather data requirements and translate them into technical solutions.</li>
<li>Troubleshoots data-related issues and provides timely solutions to ensure data availability and accuracy.</li>
<li>Stays up-to-date with the latest data engineering technologies and best practices, and shares them with the team.</li>
<li>Performs any other duties reasonably related to the functions described above.</li>
</ul>
<p><b>Requirements:</b></p>
<ul>
<li>Bachelor's or Master's degree in Computer Science or a related field.</li>
<li>Minimum of four years of experience as a Data Engineer with a strong understanding of data warehousing concepts and best practices.</li>
<li>Ability to guide and mentor other engineers and influence technical direction.</li>
<li>Proven experience partnering with analysts and stakeholders to understand their needs and translate them into data solutions.</li>
<li>Strong data modeling skills and the ability to explain how data relates and how it should be used.</li>
<li>Hands-on experience with GCP cloud services, including BigQuery, Cloud Storage, and Dataflow.</li>
<li>Proficiency in SQL and experience with database management systems such as MS SQL Server and PostgreSQL.</li>
<li>Experience building and maintaining ETL pipelines using tools like Apache Airflow or Google Cloud Composer.</li>
<li>Proficiency with Python and pandas.</li>
<li>Experience with other programming languages and paradigms such as C#, nodeJS and Ruby.</li>
<li>Knowledge of managing Linux and Windows servers.</li>
<li>Experience with data modeling and data visualization tools.</li>
<li>Experience with software development methodologies such as Agile.</li>
<li>Familiarity with version control systems like Git.</li>
<li>Excellent problem-solving and analytical skills.</li>
<li>Strong communication and collaboration skills.</li>
</ul>
<p><b>Reports to:</b> Director of Engineering</p>
<p><b>
Salary Range:</b> Minimum of $140,000 to a maximum of $160,000 per annum</p>
<p><b>
Application instructions: </b>To apply, please visit MoMA Jobs (https://recruiting.ultipro.com/MUS1002MOMA/JobBoard/9dbfa465-a36a-46c3-b31e-4929830ab266/?q=&amp;o=postedDateDesc). Applicants should submit a resume and a cover letter/statement of interest. Applications without cover letters will not be considered.</p>
<p><i>
Equal Employment Opportunity has been, and will continue to be, a fundamental principle at the Museum, where employment is based upon personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, arrest or conviction record to the extent required by applicable law, credit history, or any other protected category as established by applicable law, including the New York City Human Rights Law (&ldquo;NYCHRL&rdquo;).</i></p><p>
Equal Opportunity Employer<br>
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</p></div>

Senior Data Engineer

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