data analyst

data engineer

software engineer

business analyst

data engineer ii

database engineer

American Express

<div>
 
 Job Description
 
 
 
 Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
 
 
 The Technology organization enables and accelerates the company&rsquo;s growth strategies, delivering global capabilities and services in support of Amex&rsquo;s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.
 
 
 Enterprise Platforms is a company-wide center of excellence responsible for the product management and engineering of four critical platforms that underpin American Express&rsquo; essential customer segments, value propositions, and business lines: Enterprise Money Movement, U.S. Deposits, Global Accounts Receivable, and Global Loyalty &amp; Benefits. Technology Business Management is American Express' Technology operations including investment management processes, strategy, vendor management, global workforce and talent strategy, and Transforming Ways of Working program.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Data Engineer II facilitates seamless data integration and model maintenance, enhances data pipelines and database designs, supports production environments, ensures compliance with enterprise standards, and fosters collaboration while implementing basic partitioning and indexing solutions for Big Data management.
 </li>
 <li>
 Evaluates data requirements and stories, documents them for seamless integration into existing architectures, and maintains data models to support business needs
 </li>
 <li>
 Builds and enhances data pipelines and database designs to meet performance, scalability, and security requirements
 </li>
 <li>
 Hands on experience in Python programming (a must), and other programming languages like Java, C++
 </li>
 <li>
 Robust knowledge of RDBMS technologies like Oracle/SQL server and NoSQL cloud solutions in GCP, AWS and able to develop Python scripts from scratch, with little to no hand-holding or reference materials
 </li>
 <li>
 Collaborates in design reviews and testing, and provides production environment support with guidance from peers and leaders
 </li>
 <li>
 Operates data assets according to enterprise standards, guidelines, and policies
 </li>
 <li>
 Completes work reviews and fosters a collaborative learning environment with guidance from peers and leaders
 </li>
 <li>
 Communicates and collaborates with business and product teams to facilitate changes and implementation
 </li>
 <li>
 Completes Big Data requirements by implementing basic partitioning and indexing solutions
 </li>
 <li>
 Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Computer Engineering, and/or comparable experience; advanced degree preferred
 </li>
 <li>
 Knowledge of Big Data / NoSQL design and development with variety of data stores (document, column family, graph, etc.)
 </li>
 <li>
 Knowledge of database management system products and ecosystem &ndash; e.g., storage formats, access algorithms, data management processes, administration, data maintenance, replication, high availability, encryption, etc.
 </li>
 <li>
 Knowledge of distributed (multi-tiered) systems, algorithms, and relational &amp; non-relational database
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Data engineering and development experience or a related job
 </li>
 <li>
 Experience in SQL and Python (or any other programming language like Java) is a must
 </li>
 <li>
 Experience in design and development across one or more database management systems (e.g., HBase, Hive, GCP tools, NoSQL, BigTable, BigQuery, Spanner, IMS, DB2 zOS, Oracle, MS SQL Server, PostgreSQL, Netezza (PDA/DB2AA) as appropriate
 </li>
 <li>
 Experience in NoSQL databases (e.g., MongoDB, Couchbase, Cassandra, and Redis)
 </li>
 <li>
 Experience in data modeling tools (e.g., ErStudio, ErWin)
 </li>
 <li>
 Experience in performance tuning in the Big Data space
 </li>
 <li>
 Experience in distributed (multi-tiered) systems, algorithms, and application development
 </li>
 <li>
 Experience in database development and support of online transaction processing and/or online analytical processing systems
 </li>
 <li>
 Experience in software delivery methodology (Agile, Scrum, Agile XP, Test-Driven Development, Waterfall, etc.)
 </li>
 <li>
 Experience in infrastructure design for performance (e.g., network-attached or local-attached storage integration - such as Nutanix)
 </li>
 <li>
 Non-considerations for sponsorship: Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
 
 
 </li>
 </ul>
 
 Licenses And Certifications
 
 
 
 <ul>
 <li>
 Any Python or Cloud architect/developer-based certification is a plus
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
 
 
 As part of Team Amex, you&rsquo;ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
 
 
 
 About The Team
 
 
 
 We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
 
 
 <ul>
 <li>
 Competitive base salaries
 </li>
 <li>
 Bonus incentives
 </li>
 <li>
 6% Company Match on retirement savings plan
 </li>
 <li>
 Free financial coaching and financial well-being support
 </li>
 <li>
 Comprehensive medical, dental, vision, life insurance, and disability benefits
 </li>
 <li>
 Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
 </li>
 <li>
 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
 </li>
 <li>
 Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
 </li>
 <li>
 Free and confidential counseling support through our Healthy Minds program
 </li>
 <li>
 Career development and training opportunities
 
 
 </li>
 </ul>
 For a full list of Team Amex benefits, visit out Colleague Benefits Site .
 
 
 American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
 
 
 We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
 
 
 US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.
 
 
 The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we&rsquo;ll consider your location, experience, and other job-related factors.
</div>

Data Engineer II

Trepp

<div>Trepp's Data Platform Team is responsible for the distributed systems and datalake architectures that power our entire product suite. As a member of the Data Platform Team, you will focus on building robust foundations and scalable frameworks that empower our developers and ensure platform stability. Beyond infrastructure, you will play a key role in building and maintaining reliable, high-quality data products that serve as the backbone for business-critical insights. We own the end-to-end data lifecycle&mdash;from ingestion frameworks to observability stacks&mdash;allowing Trepp to scale effectively in a data-driven market.

We are looking for a code-first Data Engineer to join our NYC office and help transform complex data requirements into elegant, automated solutions.<h3 class="jobSectionHeader"> 
</h3>
<h3 class="jobSectionHeader">What You'll Do:</h3>
<ul>
<li>Build &amp; Enhance: Collaborate with senior engineers to build, maintain, and scale our core data ingestion and pipeline frameworks.
</li>
<li>Own the Architecture: Dive deep into our platform's design to contribute meaningfully to technical discussions and high-impact project implementations.
</li>
<li>Ship Quality Code: Translate complex technical requirements into clean, testable, and scalable Python code and data workflows.
</li>
<li>Innovate &amp; Research: Participate in &quot;Proof of Concept&quot; (PoC) initiatives to test-drive new open-source tools and cutting-edge methodologies.
</li>
<li>Stability First: Champion engineering best practices&mdash;like robust unit testing and thorough documentation&mdash;to keep the platform rock-solid as we grow.</li> 
</ul>
<h3 class="jobSectionHeader">Requirement:</h3>
<ul>
<li>Education: Bachelor's or Master's Degree in Computer Science, Data Engineering, or a related field.
</li>
<li>Experience: 1&ndash;3 years of experience in data or software engineering. We highly value relevant internships, research assistantships, or significant academic projects as part of this experience.
</li>
<li>Coding: Strong proficiency in Python (preferred), Java, or Scala, with an emphasis on writing clean, testable code
</li>
<li>Data: Solid understanding of SQL and relational database concepts and data modeling.
</li>
<li>Engineering: Familiarity with Git workflows, SDLC, and basic CI/CD principles.
</li>
<li>Mindset: Strong problem-solving skills and the ability to explain the &quot;why&quot; behind your technical decisions.</li> 
</ul>
<h3 class="jobSectionHeader">What Gives You An Edge:</h3>
<ul>
<li>Cloud: Familiarity with AWS services (S3, Lambda, EMR, or Glue).
</li>
<li>Big Data: Hands-on experience or academic exposure to Apache Spark.
</li>
<li>Modern Tech: Interest or experience with LLMs and AI-driven data workflows.</li></ul> 


Salary Range:
<ul>
<li>Base salary starting from $150k plus bonus eligible</li></ul> 


Benefits and Perks:
<ul>
<li>Base + target bonus compensation structure</li>
<li>Medical, Dental, Vision insurance</li>
<li>401K (with employer match)</li>
<li>Life insurance, long term disability, short term disability all covered by the company</li>
<li>Flexible paid time off (PTO)</li>
<li>Sixteen (16) weeks paid primary caregiver leave (Biological, adoptive, and foster parents are all eligible)</li>
<li>Four (4) weeks paid parental leave</li>
<li>Wellness subsidy</li>
<li>Pet insurance</li>
<li>Laptop + WFH equipment
</li><li>Career progression plan</li>
<li>Pre-tax commuter benefit with company subsidy (For NYC-office based employees only)</li>
<li>Fun company events and volunteering opportunities</li>
</ul>
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Trepp (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status). 


Workplace Policy:

Trepp's offices follows a 3-2 hybrid-working policy with the expectation of in-office work on Tuesday-Thursday and the option to work from home on Monday and Friday. 


About Trepp

Trepp, Inc. founded in 1979, is the leading provider of information, analytics and technology to the CMBS, commercial real estate and banking markets. Trepp provides primary and secondary market participants with the web-based tools and insight they need to increase their operational efficiencies, information transparency and investment performance. Trepp serves its clients with products and services to support trading, research, risk management, surveillance and portfolio management. Trepp is wholly-owned by DMG Information, a division of the Daily Mail and General Trust (DMGT).</div>

<div>Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues.
 
 
The Technology organization enables and accelerates the company&rsquo;s growth strategies, delivering global capabilities and services in support of Amex&rsquo;s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights.
 
 
Enterprise Platforms is a company-wide center of excellence responsible for the product management and engineering of four critical platforms that underpin American Express&rsquo; essential customer segments, value propositions, and business lines: Enterprise Money Movement, U.S. Deposits, Global Accounts Receivable, and Global Loyalty &amp; Benefits. Technology Business Management is American Express' Technology operations including investment management processes, strategy, vendor management, global workforce and talent strategy, and Transforming Ways of Working program.</div>
 <div><ul><li>Bachelor&rsquo;s degree in Computer Science, Computer Engineering, and/or comparable experience; advanced degree preferred
</li><li>Knowledge of Big Data / NoSQL design and development with variety of data stores (document, column family, graph, etc.)
</li><li>Knowledge of database management system products and ecosystem &ndash; e.g., storage formats, access algorithms, data management processes, administration, data maintenance, replication, high availability, encryption, etc.
</li><li>Knowledge of distributed (multi-tiered) systems, algorithms, and relational &amp; non-relational database
</li></ul>Preferred Qualifications:
<ul><li>Data engineering and development experience or a related job
</li><li>Experience in SQL and Python (or any other programming language like Java) is a must
</li><li>Experience in design and development across one or more database management systems (e.g., HBase, Hive, GCP tools, NoSQL, BigTable, BigQuery, Spanner, IMS, DB2 zOS, Oracle, MS SQL Server, PostgreSQL, Netezza (PDA/DB2AA) as appropriate
</li><li>Experience in NoSQL databases (e.g., MongoDB, Couchbase, Cassandra, and Redis)
</li><li>Experience in data modeling tools (e.g., ErStudio, ErWin)
</li><li>Experience in performance tuning in the Big Data space
</li><li>Experience in distributed (multi-tiered) systems, algorithms, and application development
</li><li>Experience in database development and support of online transaction processing and/or online analytical processing systems
</li><li>Experience in software delivery methodology (Agile, Scrum, Agile XP, Test-Driven Development, Waterfall, etc.)
</li><li>Experience in infrastructure design for performance (e.g., network-attached or local-attached storage integration - such as Nutanix)
</li>Non-considerations for sponsorship: Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions. 
<li>
</li></ul>Licenses and Certifications:
<ul><li>Any Python or Cloud architect/developer-based certification is a plus</li></ul></div>
 <div>At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you&rsquo;ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.</div>
 <div>We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
<ul><li>Competitive base salaries
</li><li>Bonus incentives
</li><li>6% Company Match on retirement savings plan
</li><li>Free financial coaching and financial well-being support
</li><li>Comprehensive medical, dental, vision, life insurance, and disability benefits
</li><li>Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
</li><li>20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
</li><li>Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
</li><li>Free and confidential counseling support through our Healthy Minds program
</li><li>Career development and training opportunities
</li></ul>For a full list of Team Amex benefits, visit out Colleague Benefits Site .
<div>American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. 
</div><div></div> 
<div>We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. 
</div><div></div> 
<div>US Job Seekers - Click to view the &ldquo; Know Your Rights &rdquo; poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.</div></div><div></div>

Gambit Technologies

<div>
 
 
 Senior Data Engineer | NYC Hybrid (4 Days per-week Onsite)
 
 
 
 
 
 
 High-impact role. Real ownership. Build something that actually matters.
 
 
 We&rsquo;re partnering with a large, mission-driven organization tackling complex challenges across public impact initiatives. They&rsquo;re investing heavily in modernizing their data platform and are looking for a senior, hands-on engineer to lead the charge.
 
 
 This is not a maintenance role. You&rsquo;ll help define the future state.
 
 
 
 
 
 What You&rsquo;ll Be Doing
 
 
 You&rsquo;ll sit at the intersection of engineering and strategy, helping transition a legacy BI environment into a modern, cloud-native data platform.
 
 <ul>
 <li>
 Design and build a cloud-based data warehouse or lakehouse from the ground up
 </li>
 <li>
 Lead the migration from an on-prem SQL Server BI stack to scalable cloud architecture
 </li>
 <li>
 Build and optimize data pipelines that actually perform at scale
 </li>
 <li>
 Own data modeling, testing, observability, and CI/CD best practices
 </li>
 <li>
 Reduce technical debt and stabilize production systems during the transition
 </li>
 <li>
 Partner directly with business stakeholders to deliver meaningful insights
 </li>
 <li>
 Help define standards and mentor others on the team
 </li>
 </ul>
 
 Current Environment
 
 <ul>
 <li>
 SQL Server (data warehouse)
 </li>
 <li>
 Tableau (primary BI tool)
 </li>
 <li>
 Evolving toward modern cloud data platforms
 </li>
 </ul>
 
 What You Bring
 
 <ul>
 <li>
 Strong hands-on Tableau experience (non-negotiable)
 </li>
 <li>
 Deep SQL skills, including large-scale query optimization
 </li>
 <li>
 Proven experience with data modeling for analytics/reporting
 </li>
 <li>
 Experience working with business stakeholders, not just hiding behind code
 </li>
 <li>
 Ability to translate messy data into clear, actionable insights
 </li>
 </ul>
 
 
</div>

Senior Data Engineer

4C Insights (part of Innovid by Mediaocean)

<div>
 Back to jobs
 
 
 Data Engineer
 
 
 Buenos Aires
 
 
 
 Innovid is the leading independent omnichannel ad tech platform, empowering marketers to create, deliver, measure, and optimize ad-supported experiences that people love. In 2025, Innovid and Flashtalking merged to create a transparent, scalable alternative to big-tech, walled-gardens, and point solutions across CTV, digital, linear, and social channels. As part of Mediaocean, Innovid is tied into the industry&rsquo;s core ad infrastructure for omnichannel planning, buying, and billing.
 
 
 
 
 &zwj;
 
 
 
 
 We are proud to lead the industry with our innovation, intelligence, and independence as the company best-suited to power the future of advertising.
 
 
 
 We're looking for a top-notch, passionate Data Engineer in Argentina with an interest in translating business goals into concrete solutions. The
 
 Data Engineer
 
 provides technology solutions by architecting and developing enterprise systems using a variety of programming languages, tools, and platforms. This can range from building data platforms, data warehouses and web applications, to implementing reporting platforms.
 
 
 
 The Impact You'll Make
 
 
 
 <ul>
 <li>
 Design, develop and maintain complex data pipelines and systems to process large volumes of data
 </li>
 <li>
 Collaborate with cross-functional teams to gather requirements, identify data sources, and ensure data quality
 </li>
 <li>
 Architect data solutions that are scalable, reliable, and secure, and meet business requirements
 </li>
 <li>
 Develop and maintain data models, ETL processes, and data integration strategies
 </li>
 <li>
 Design and implement data governance policies and procedures to ensure data accuracy, consistency, and security
 </li>
 <li>
 Create visualizations and reports to communicate insights to stakeholders across multiple data streams
 </li>
 <li>
 Collaborate as part of a team to drive analyses and insights that lead to more informed decisions and improved business performance
 </li>
 <li>
 Work with other teams to ensure teamwork and timely delivery of client projects
 
 
 </li>
 </ul>
 
 What You'll Bring To Us
 
 
 
 <ul>
 <li>
 +2 years of experience in a Data Engineering capacity
 </li>
 <li>
 Strong experience with SQL
 </li>
 <li>
 Experience designing, building, and maintaining ETL/ELT pipelines.
 </li>
 <li>
 Hands-on expertise with Apache Spark - is highly valued
 </li>
 <li>
 Experience working with dbt for data transformation, modeling and testing - is highly valued
 </li>
 <li>
 Experience working in the cloud environments (AWS, Azure, GCP)
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or a related discipline
 </li>
 <li>
 Advanced English (speaking, reading, writing, and listening)
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Understanding of Apache Iceberg or modern data lake technologies
 </li>
 <li>
 Experience with batch processing at scale
 </li>
 <li>
 Experience with any of Snowflake, Databricks, Redshift or BigQuery
 </li>
 <li>
 Workflow orchestration tools (Argo Workflows, Airflow, Dagster, or similar)
 </li>
 <li>
 Testing and data quality frameworks
 
 
 </li>
 </ul>
 
 What We'll Offer You
 
 
 
 <ul>
 <li>
 Unlimited Vacations
 </li>
 <li>
 Monthly Inflation updates
 </li>
 <li>
 Lunch Credit
 </li>
 <li>
 OSDE 410 as medical insurance
 </li>
 <li>
 English lessons
 </li>
 <li>
 Gym coverage
 </li>
 <li>
 Internet coverage
 </li>
 <li>
 1 extra paid month for primary &amp; secondary birthing caregivers
 </li>
 <li>
 Learning &amp; Development - Tools and Training
 </li>
 <li>
 Hybrid &amp; flexible working model - nice offices in Parque Chas with endless snacks &amp; beverages
 </li>
 <li>
 Pet friendly office
 </li>
 <li>
 High visibility roles with a tremendous amount of growth potential
 </li>
 <li>
 Global team and cross-company collaboration unlike anywhere else
 
 
 </li>
 </ul>
 There is no such thing as the perfect resume, or someone that checks every box. At Innovid, we are generous with our time and knowledge, and always ready to teach. So however you identify and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day and add to Innovid.
 
 
 Equal Opportunity Employer: Innovid is an equal opportunity employer, committed to our diversity and inclusiveness. We consider all qualified applicants regardless of race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply. We are actively working to be an anti-racist organization. We're committing to creating an inclusive and equitable workplace for all of our employees. You can read more about our commitment to DEI here.
 
 
 If you are located within the EEA and subject to GDPR or are a California resident subject to the California Consumer Privacy Act, click here to understand how Innovid processes your personal information and how you can exercise your rights.
 
 
 Create a Job Alert
 
 
 Interested in building your career at Innovid? Get future opportunities sent straight to your email.
 
 
 Create alert
 
 
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</div>

Data Engineer
Buenos Aires

CLEAR

<div>CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier&mdash;physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it's at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.

We're looking for a Data Engineer II to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Data Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core.

A brief highlight of our tech stack:
<ul>
<li>SQL / Python / Looker / Snowflake / dbt</li>
</ul>
What you'll do:
<ul>
<li>Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner</li>
<li>Build processes supporting data transformation, data structures, metadata, dependency and workload management</li>
<li>Develop and maintain data pipelines to collect, clean, and transform data (owning end to end data product from ingestion to visualization)</li>
<li>Develop and implement data analytics models</li>
<li>Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems</li>
<li>Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR</li>
</ul>
What you're great at:
<ul>
<li>4+ years of data engineering experience</li>
<li>Working with cloud-based application development, and be fluent in at least a few of:</li>
<li><ul><li>Cloud services providers like AWS</li>
<li>Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc</li>
<li>Big data tools like Spark, Kafka, Snowflake, Databricks, etc</li>
<li>Collaboration, integration, and deployment tools like Github, Argo, and Jenkins</li>
<li>Data visualization tool like Looker, Tableau, etc</li>
</ul></li><li>Articulating technical concepts to a mixed audience of technical and non-technical stakeholders</li>
<li>Collaborating and mentoring less experienced members of the team</li>
<li>Comfort with ambiguity</li>
<li>Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's important</li>
</ul>
How You'll be Rewarded:

At CLEAR, we help YOU move forward - because when you're at your best, we're at our best. You'll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning &amp; development with stipends and reimbursement programs.

We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The base salary range for this role is $150,000-$180,000 depending on levels of skills and experience.

The base salary range represents the low and high end of CLEAR's salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR's total compensation package for employees and other rewards may include annual bonuses, commission, and Restricted Stock Units.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

#LI-Onsite</div>

VERVE GROUP

<div>Verve For Advertisers is a technology company that empowers brands and agencies to connect moments of discovery and drive measurable outcomes across screens.

As part of Verve, we've unified the company's demand-side offering, bringing together the largest on-site search intent dataset outside of walled gardens, direct SDK integrations with top apps, alongside data partnerships with 3M+ websites and LLMs. Our technology captures both what consumers do and why they do it, delivering high-fidelity audiences, insights, and activation across premium omnichannel inventory.

We are looking for a Data Engineer to join our engineering team to help us manage our diverse and growing set of initiatives. This position is full-time with the option of working on-site from our NYC headquarters. Jun Group will only consider candidates for this position who are currently legally authorized to work in the United States.

Responsibilities include
<ul>
<li>Collaborate with our Product and Strategy teams to build customized reporting solutions for our clients</li>
<li>Integrate new internal data sources as well as third-party APIs to enhance our reporting capabilities</li>
<li>Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients</li>
<li>Work with our Platform team to create monitoring which ensures data integrity</li>
<li>Experiment with new tech to find the right tool for the job</li>
<li>Use Kanban to manage multiple releases per week</li>
<li>Maintain high code quality through code reviews and automated tests</li>
</ul>
Here are a few indicators that you're the right person
<ul>
<li>You enjoy a fun, creative, and engaging working atmosphere free of brilliant jerks</li>
<li>You want to be part of a small team inside a large company with massive opportunity for growth</li>
<li>You enjoy collaboration with other teams including product, biz dev, and our in-house QA team</li>
<li>You eagerly dig into complex engineering problems</li>
</ul>
Preferred skills and experience
<ul>
<li>2+ years of relevant work experience</li>
<li>You have built customer&ndash;facing dashboards and reports using data visualization tools like Holistics, Looker, or Tableau</li>
<li>You are comfortable writing SQL and manipulating large structured or unstructured datasets for analysis</li>
<li>You've designed schemas and optimized queries for a data warehouse like BigQuery or ClickHouse</li>
<li>You've built and maintained batch ETL/ELT jobs using an orchestration platform like Airflow, Temporal, or Dagster</li>
<li>Familiarity with Google Cloud or AWS big data products</li>
</ul>
Some company benefits include
<ul>
<li>Competitive salary</li>
<li>Health, dental, and vision insurance, plus mental health resources</li>
<li>401(k) match and generous PTO</li>
<li>Hybrid work environment (NYC office)</li>
<li>Free lunch for onsite team members in NYC</li>
<li>Volunteer Opportunities</li>
<li>Opportunities for professional development in a high-growth ad tech company</li>
</ul>
Greater NY-area Residents: We currently have a hybrid remote work policy. All Jun Group employees living within a 90-minute (one way) commute of our NYC office are expected to be in the office three days per week.

We're open to allowing the right person to learn our industry on the job. We welcome diversity and non-traditional paths into all of our roles. We believe in hiring the right person as opposed to the right combination of keywords.

Communications regarding your application will only come from @jungroup.com or @verve.com email addresses.</div>

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