data analyst

data scientist

associate data analyst

data & cloud engineer

data entry clerk

data engineer

Simpson Thacher & Bartlett LLP

<div>The Data Engineer is responsible for developing, maintaining, and optimizing data pipelines and analytics solutions across the Microsoft data ecosystem. This role focuses on building reliable ETL/ELT workflows using Azure Data Factory, Databricks, Microsoft Fabric, SQL Server, and Python to support reporting, analytics, and data science initiatives. The engineer collaborates with senior team members, analysts, and business partners to deliver clean, well structured data while contributing to the modernization of cloud-based data platforms. This position requires strong technical fundamentals, attention to detail, and a desire to grow into more advanced engineering and architectural responsibilities.
Essential Job Duties &amp; Responsibilities
<ul><li>Oversee the development and optimization of SQL Server databases and queries to meet complex reporting and analytical needs.
</li><li>Write and maintain Python scripts for sophisticated data transformation, analysis, and automation tasks.
</li><li>Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand and translate data requirements into technical solutions.
</li><li>Troubleshoot and resolve complex data-related issues, ensuring high data quality and reliability.
</li><li>Monitor, optimize, and scale data workflows to improve performance and cost-efficiency.
</li><li>Develop and enforce best practices for data engineering processes, documentation, and governance.
</li></ul>Education
Required
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience in lieu of formal education.
</li><li>Legal IT experience a plus but not required
</li></ul>Skills and Experience
Required
<ul><li>2-4 years experience working with enterprise level relational and/or non-relational database and ETL/ELT technologies.
</li><li>Extensive experience with Azure Data Lake Storage, Azure Data Factory, Databricks, SQL Server, and Python.
</li><li>Demonstrated experience in the implementation and creation of both on-premise SQL Server Databases as well as Azure SQL Databases.
</li><li>Deep understanding of data modeling, ETL processes, data warehousing concepts, and data architecture.
</li><li>Advanced proficiency in SQL for complex querying and database management.
</li><li>Strong experience with Python for advanced data manipulation and automation tasks.
</li><li>In-depth knowledge of cloud computing concepts and services, particularly within Azure.
</li><li>Excellent problem-solving abilities and attention to detail.
</li><li>Exceptional communication skills and experience working collaboratively in a team-oriented environment.
</li><li>Experience with data governance and data quality frameworks.
</li><li>Familiarity with Azure services (e.g., Azure Synapse Analytics, Azure SQL Database, Cosmos DB) and big data technologies.
</li><li>Experience with semi-structured/NoSQL databases is a plus.
</li><li>Azure data certifications (e.g., Azure Data Engineer Associate) are a plus but not required.
</li></ul>Salary Information
<div>NY Only: The estimated base salary range for this position is $150,000 to $175,000 at the time of posting.
</div><div><div><div><div>The actual salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job. This role is exempt meaning it is not overtime pay eligible.
</div></div></div></div>Simpson Thacher will not sponsor applicants for work visas for this position.
Privacy Notice
For information about how Simpson Thacher &amp; Bartlett LLP collects and processes your personal information, please refer to our Privacy Notice available at https://www.stblaw.com/other/privacy-notice .
Simpson Thacher &amp; Bartlett is committed to a collegial work environment in which all individuals are treated with respect and dignity. The Firm prohibits discrimination or harassment based upon race, color, religion, gender, gender identity or expression, age, national origin, citizenship status, disability, marital or partnership status, sexual orientation, veteran&rsquo;s status or any other legally protected status. This Policy pertains to every aspect of an individual&rsquo;s relationship with the Firm, including but not limited to recruitment, hiring, compensation, benefits, training and development, promotion, transfer, discipline, termination, and all other privileges, terms and conditions of employment.
#LI-Hybrid</div>

Data Engineer

Shields Group Search

<div>
 
 
 Data Engineer
 
 
 
 
 Hybrid in NYC
 
 
 
 
 Full-Time
 
 
 
 
 $175,000-$225,000 base + upside depending on experience
 
 
 
 
 
 
 
 About the Company
 
 
 
 Shields Group Search is partnering with an innovative private banking and wealth infrastructure company building modern tools for modern clients. Their platform is designed to help private investors access liquidity more easily while driving transparency into historically opaque markets, including fine art and commercial real estate.
 
 
 
 
 
 They are hiring a
 
 Data Engineer
 
 to help build a world-class data infrastructure that supports the modernization of private banking for independent wealth managers and family offices. This person will be responsible for designing, building, and maintaining robust data pipelines, ETL processes, and data warehousing solutions that enable analytics and drive insights across the platform.
 
 
 
 
 
 You will work closely with engineering and product teams to architect scalable, reliable data systems. The stack includes
 
 Python, SQL, cloud data warehousing platforms, and modern data engineering tooling
 
 .
 
 
 
 
 
 
 About the Role
 
 
 
 This position reports directly to the
 
 Head of Engineering
 
 . The ideal candidate will have meaningful educational and/or professional experience designing and implementing scalable data systems, building ETL pipelines, and writing clean, maintainable, well-tested code.
 
 
 
 
 
 This team is looking for someone who is genuinely excited to spend most of their day coding and building scalable systems, while also contributing architectural input. They would strongly prefer someone in
 
 NYC
 
 , and
 
 2-3 days per week in-office
 
 should be expected. They also want someone who is comfortable building with and using
 
 agentic systems
 
 . This is not the right fit for someone optimizing primarily for work/life balance.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Participate in the full software development life cycle from planning to deployment
 </li>
 <li>
 Design and build scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
 </li>
 <li>
 Collaborate with the team to design, develop, unit test, and support new features
 </li>
 <li>
 Strive for high quality and rapid output through agile software development best practices
 </li>
 <li>
 Architect data warehouses and data lakes, optimizing for query performance and cost efficiency
 </li>
 <li>
 Perform code reviews and provide constructive feedback to peers
 </li>
 <li>
 Maintain and improve the tech stack
 </li>
 <li>
 Develop flexible and well-structured data pipelines and data warehouse schemas
 </li>
 <li>
 Implement effective security protocols, data protection measures, and storage solutions
 </li>
 <li>
 Troubleshoot, debug, and upgrade software
 </li>
 <li>
 Ensure software meets all requirements of quality, security, and configurability
 </li>
 <li>
 Contribute to documentation, tests, and automation pipelines
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field
 </li>
 <li>
 Minimum of 3 years of experience in data engineering, ETL development, or analytics engineering, ideally within fintech or financial services
 </li>
 <li>
 Advanced proficiency in Python and SQL for data pipeline development and analysis
 </li>
 <li>
 Familiarity with CI/CD tools
 </li>
 <li>
 Experience with data warehousing platforms such as Snowflake, BigQuery, Redshift, or similar, as well as modern ETL tools
 </li>
 <li>
 Strong knowledge of the software development lifecycle
 </li>
 <li>
 Experience with testing and debugging
 </li>
 <li>
 Proficient understanding of code versioning tools such as Git
 </li>
 <li>
 Excellent problem-solving skills and attention to detail
 </li>
 <li>
 Excellent communication and teamwork skills
 </li>
 <li>
 Ability to work independently and take initiative
 </li>
 <li>
 Willingness and ability to build with agentic systems in a practical, hands-on way
 </li>
 </ul>
 
 
 
 
 
 Why This Role
 
 
 
 This is an opportunity to help architect a state-of-the-art platform and partner with an experienced leadership team during a period of rapid development. The team has additional flexibility on compensation for stronger candidates, with total base salary landing closer to
 
 $200,000-$225,000
 
 for candidates with more experience.
 
</div>

FanDuel

<div>THE POSITION 
Our roster has an opening with your name on it

We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you'll contribute to the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.

The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, and continuously learning in a fast-paced environment.

If you're excited by this challenge and want to work within a dynamic company, then we'd love to hear from you.

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

Build &amp; Maintain Data Pipelines
<ul>
<li>Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.</li>
<li>Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.</li>
<li>Ensure data is reliable, accurate, and delivered in a timely manner</li>
</ul>
Collaborate Across Teams
<ul>
<li>Work with data analysts, data scientists, and product managers to understand requirements and deliver actionable data solutions</li>
<li>Translate business questions into engineering tasks and contribute to technical planning.</li>
<li>Participate in code reviews, sprint planning, and retrospectives as part of an agile team.</li>
</ul>
Data Quality &amp; Operations
<ul>
<li>Monitor data pipelines and troubleshoot issues in a timely, systematic manner</li>
<li>Implement data quality checks and contribute to observability and testing practices</li>
<li>Document data sources, transformations, and architecture decisions to support long-term maintainability</li> 
</ul>
THE STATS 
What we're looking for in our next teammate
<ul>
<li>2&ndash;4 years of experience in data engineering, analytics engineering, or software engineering with a focus on data.</li>
<li>Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).</li>
<li>Hands-on experience with modern data tools such as Databricks,Airflow, dbt, Spark, or Kafka.</li>
<li>Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.</li>
<li>Experience working with cloud-based data platforms (AWS, GCP, or Azure).</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience supporting BI, analytics, or data science teams.</li>
<li>Familiarity with version control, CI/CD, and collaborative development workflows.</li>
<li>Exposure to data governance, privacy, or compliance practices.</li>
<li>Eagerness to learn new technologies and contribute to the growth of the team.</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's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry'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'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, &quot;We are One Team!&quot;. 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. 


#LI-Hybrid</div>

Capgemini

<div>
 Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
 
 
 Job Location - Smithfield, RI (Day One Onesite - Hybrid)
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 The Software Engineering team is seeking a highly skilled Data Engineer.
 </li>
 <li>
 This role involves the analysis data modeling ETL and ingestion of data along with the opportunity to analyze and draw key insights from collected data.The ideal candidate will have strong experience with SQL Managed Instances in cloud as well as a solid understanding of modern data engineering best practices and experience in Agile software delivery
 </li>
 <li>
 You will be responsible for designing developing and maintaining robust data pipelines and solutions for the provision of data and insights to critical applications across multiple areas of the organization.
 </li>
 <li>
 Additionally you will help define implement and advance data engineering practices standards and strategies contributing to the progression of modern engineering practice across our platforms and teams
 
 
 </li>
 </ul>
 Key Responsibilities
 
 
 <ul>
 <li>
 Design develop and maintain high quality data pipelines and solutions for core applications
 </li>
 <li>
 Perform comprehensive data analysis and modeling to support business requirements
 </li>
 <li>
 Develop and maintain ETL processes for efficient data ingestion and transformation experience with SnapLogic would be a plus
 </li>
 <li>
 Ensure the performance security and scalability of data solutions
 </li>
 <li>
 Collaborate with data scientists analysts and other stakeholders to define design and implement data solutions
 </li>
 <li>
 Participate in code and design reviews to maintain high data engineering standards
 </li>
 <li>
 Contribute to the continuous improvement of data engineering practices standards and strategies
 </li>
 <li>
 Implement and maintain CICD pipelines to ensure smooth and efficient data ingestions and delivery
 </li>
 <li>
 Work closely with product owners technical leads and architects to influence technical improvements
 
 
 </li>
 </ul>
 Required Expertise
 
 
 <ul>
 <li>
 Passion for data engineering and a commitment to excellence
 </li>
 <li>
 Degree in Computer Science Data Engineering Information Technology or equivalent
 </li>
 <li>
 Minimum of 4 years of enterprise data engineering experience and advanced knowledge of data architecture and database technologies
 </li>
 <li>
 Strong experience with MS SQL understanding of SQL MI in Azure cloud a plus
 </li>
 <li>
 Proficiency in data analysis data modelling and ETL processes
 </li>
 <li>
 Familiarity with data warehousing concepts and technologies
 </li>
 <li>
 Experience working in a CICD environment with tools like Git SCM Jenkins and Docker
 </li>
 <li>
 Familiarity with Agile practices and experience delivering data solutions in an Agile environment
 
 
 </li>
 </ul>
 Skills and Attributes
 
 
 <ul>
 <li>
 Excellent analytical problem solving communication and organizational skills
 </li>
 <li>
 Ability to prioritize and manage multiple data related tasks simultaneously
 </li>
 <li>
 Strong team player with a collaborative and positive attitude
 </li>
 <li>
 Ability to work independently under general direction
 </li>
 <li>
 Commitment to quality and adherence to data engineering best practices
 
 
 </li>
 </ul>
 Life At Capgemini
 
 
 Capgemini Supports All Aspects Of Your Well-being Throughout The Changing Stages Of Your Life And Career. For Eligible Employees, We Offer
 
 
 <ul>
 <li>
 Flexible work
 </li>
 <li>
 Healthcare including dental, vision, mental health, and well-being programs
 </li>
 <li>
 Financial well-being programs such as 401(k) and Employee Share Ownership Plan
 </li>
 <li>
 Paid time off and paid holidays
 </li>
 <li>
 Paid parental leave
 </li>
 <li>
 Family building benefits like adoption assistance, surrogacy, and cryopreservation
 </li>
 <li>
 Social well-being benefits like subsidized back-up child/elder care and tutoring
 </li>
 <li>
 Mentoring, coaching and learning programs
 </li>
 <li>
 Employee Resource Groups
 </li>
 <li>
 Disaster Relief
 
 
 </li>
 </ul>
 Disclaimer
 
 
 Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
 
 
 This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
 
 
 Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
 
 
 Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
 
 
 Salary Transparency
 
 
 Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 to $106050 /yearly.
 
 
 This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
 
 
 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, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.
 
 
 Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 to $106050 /yearly.
 
 
 This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
 
 
 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, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.
 
 
 The base compensation range for this role in the posted location is:$80420 to $106050
 
 
 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
 
 
 The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
 
 
 These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
 
 
 It is not typical for candidates to be hired at or near the top of the posted compensation range.
 
 
 In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
 
 
 
 Benefits
 
 
 
 
 Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.
 
 In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
 
 
 <ul>
 <li>
 Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
 </li>
 <li>
 Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
 </li>
 <li>
 Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
 </li>
 <li>
 Life and disability insurance
 </li>
 <li>
 Employee assistance programs
 </li>
 <li>
 Other benefits as provided by local policy and eligibility
 
 
 </li>
 </ul>
 
 Important Notice:
 
 Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
 
 
 
 Disclaimers
 
 
 
 Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
 
 
 This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
 
 
 Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
 
 
 Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

<div>The Senior Data Engineer is responsible for designing, building, and optimizing enterprise-scale data pipelines and analytics platforms across the Microsoft data ecosystem. This role leads the development of robust, scalable data solutions using Azure Data Factory, Databricks, Microsoft Fabric, SQL Server, and Python to support advanced analytics, machine learning, and business intelligence workloads. The engineer partners closely with architects, data scientists, and business stakeholders to modernize data platforms, implement best practices, and ensure high-quality, reliable data delivery across the organization. This position requires deep technical expertise, strong problem solving skills, and the ability to drive end to end data engineering initiatives in a cloud-first environment.
Essential Job Duties &amp; Responsibilities
<ul><li>Lead the design, development, and implementation of advanced data pipelines and ETL processes using Azure Data Lake Storage and Azure Data Factory.
</li><li>Architect and manage scalable data solutions on Databricks for high-performance data processing and analytics.
</li><li>Oversee the development and optimization of SQL Server databases and queries to meet complex reporting and analytical needs.
</li><li>Write and maintain Python scripts for sophisticated data transformation, analysis, and automation tasks.
</li><li>Spearhead data migration projects from on-premises systems to Azure cloud services, ensuring strategic planning, minimal disruption, and data integrity.
</li><li>Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand and translate data requirements into technical solutions.
</li><li>Troubleshoot and resolve complex data-related issues, ensuring high data quality and reliability.
</li><li>Monitor, optimize, and scale data workflows to improve performance and cost-efficiency.
</li><li>Develop and enforce best practices for data engineering processes, documentation, and governance.
</li></ul>Education
Required
<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience in lieu of formal education.
</li><li>Legal IT experience a plus but not required
</li></ul>Skills and Experience
Required
<ul><li>5-7 years experience working with enterprise level relational and/or non-relational database and ETL/ELT technologies.
</li><li>Extensive experience with Azure Data Lake Storage, Azure Data Factory, Databricks, SQL Server, and Python.
</li><li>Demonstrated experience in the implementation and creation of both on-premise SQL Server Databases as well as Azure SQL Databases.
</li><li>Deep understanding of data modeling, ETL processes, data warehousing concepts, and data architecture.
</li><li>Proven track record of managing and executing large-scale data migration projects from on-premises to cloud environments.
</li><li>Advanced proficiency in SQL for complex querying and database management.
</li><li>Strong experience with Python for advanced data manipulation and automation tasks.
</li><li>In-depth knowledge of cloud computing concepts and services, particularly within Azure.
</li><li>Demonstrated leadership skills, with the ability to mentor and guide junior team members.
</li><li>Excellent problem-solving abilities and attention to detail.
</li><li>Exceptional communication skills and experience working collaboratively in a team-oriented environment.
</li><li>Experience with data governance and data quality frameworks.
</li><li>Familiarity with Azure services (e.g., Azure Synapse Analytics, Azure SQL Database, Cosmos DB) and big data technologies.
</li><li>Experience with semi-structured/NoSQL databases is a plus.
</li><li>Azure data certifications (e.g., Azure Data Engineer Associate) are a plus but not required.
</li></ul>Salary Information
<div>NY Only: The estimated base salary range for this position is $175,000 to $200,000 at the time of posting.
</div><div><div><div><div>The actual salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job. This role is exempt meaning it is not overtime pay eligible.
</div></div></div></div>Simpson Thacher will not sponsor applicants for work visas for this position.
Privacy Notice
For information about how Simpson Thacher &amp; Bartlett LLP collects and processes your personal information, please refer to our Privacy Notice available at https://www.stblaw.com/other/privacy-notice .
Simpson Thacher &amp; Bartlett is committed to a collegial work environment in which all individuals are treated with respect and dignity. The Firm prohibits discrimination or harassment based upon race, color, religion, gender, gender identity or expression, age, national origin, citizenship status, disability, marital or partnership status, sexual orientation, veteran&rsquo;s status or any other legally protected status. This Policy pertains to every aspect of an individual&rsquo;s relationship with the Firm, including but not limited to recruitment, hiring, compensation, benefits, training and development, promotion, transfer, discipline, termination, and all other privileges, terms and conditions of employment.
#LI-Hybrid</div>

Senior Data Engineer

VNS Health

<div>Overview:
<div>
The Cloud Data Engineer in VNS Health&rsquo;s Data Architecture Services Group designs, engineers and administers an enterprise data warehouse serving business and clinical units across VNS Health. Responsible for cloud data warehouse administration.</div>
Responsibilities:
<div>
Key job duties include:</div><ul><li>
Preps technical design documents from functional requirements; designs and engineers ELT/ETL framework; sets up application schemas, develops database code, conducts unit and system testing of end-to-end integration; handles release management and production support as needed.</li><li>
Works closely with data and analytics team to build greater functionality into data systems; builds and maintains system infrastructure required for optimal extraction, transformation and loading of data from sources across VNS Health, using SQL and AWS.</li><li>
Optimizes data pipeline architecture for greater scalability; integrates large, complex data sets to meet business requirements.</li><li>
Works with stakeholders Agency-wide to address tech issues, supports data-related IT infrastructure needs, streamlines and updates business logic and processes.</li><li>
Identifies, designs, builds and implements internal process improvements; automates manual processes; optimizes data delivery, ensures data integrity; designs and builds analytics tools using data pipeline, to provide insights into customer acquisition, operational efficiency, and other KPIs.</li></ul><div>
This position is fully remote; may work from anywhere in the U.S. Annual salary is $128,750.</div>
Qualifications:
<div>
Education: Master&rsquo;s in Computer Science, MIS, Electronics Engineering or related field.</div><div></div><div> 
Experience: Requires 2 years&rsquo; experience with: cloud database engineering, replication, integration, manipulation and transformation; managing Role Based Access Control and proficiency writing complex SQL queries; AWS Cloud Services, data pipeline and workflow management tools, data modeling for Change Data Capture and Slowly Changing Dimensions, including logical, conceptual and physical modeling of data warehouse projects; version controlling GitHub, &amp; healthcare datasets, e.g. Members, Claims and Risk Adjustment.</div><div></div><div> 
Compensation: $128,750- $128,750</div><div></div><div> 
DNI-LI</div>
Pay Range: USD $128,750.00 - USD $128,750.00 /Yr.</div>

Cloud Data Engineer

Anthropic

<div>
 
 About Anthropic
 
 
 
 Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
 
 
 
 About The Role
 
 
 
 As an Analytics Engineer, you will be an early member of the Data Science &amp; Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company&rsquo;s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
 </li>
 <li>
 Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
 </li>
 <li>
 Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
 </li>
 <li>
 Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
 </li>
 <li>
 Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
 </li>
 <li>
 Influence the future roadmap of Product and GTM teams from a data systems perspective
 </li>
 <li>
 Become an expert in our organization&rsquo;s data models and the company's data architecture
 
 
 </li>
 </ul>
 
 You Might Be a Good Fit If You Have
 
 
 
 <ul>
 <li>
 5+ years of experience as an Analytics Data Engineer or similar Data Science &amp; Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
 </li>
 <li>
 A passion for the company's mission of building helpful, honest, and harmless AI.
 </li>
 <li>
 Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
 </li>
 <li>
 Expertise in SQL and Python to transform data into accurate, clean data models.
 </li>
 <li>
 Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
 </li>
 <li>
 A bias for action and urgency, not letting perfect be the enemy of the effective.
 </li>
 <li>
 A &ldquo;full-stack mindset&rdquo;, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
 </li>
 <li>
 Experience building an Analytics Data Engineering (or similar) function at start-ups.
 </li>
 <li>
 A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
 
 
 </li>
 </ul>
 The annual compensation range for this role is listed below.
 
 
 For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
 
 
 
 Annual Salary
 
 
 
 $275,000&mdash;$370,000 USD
 
 
 
 Logistics
 
 
 
 
 Education requirements:
 
 We require at least a Bachelor's degree in a related field or equivalent experience.
 
 
 
 Location-based hybrid policy:
 
 Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
 
 
 
 Visa sponsorship:
 
 We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
 
 
 
 We encourage you to apply even if you do not believe you meet every single qualification.
 
 Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
 
 
 
 Your safety matters to us.
 
 To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
 
 
 
 How We're Different
 
 
 
 We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
 
 
 The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
 
 
 
 Come work with us!
 
 
 
 Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
 
 Guidance on Candidates' AI Usage:
 
 Learn about our policy for using AI in our application process
</div>

Analytics Data Engineer

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