As an AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization’s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

Technology:

• Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.
• Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to
• Diagnose and resolve issues with deployed systems (as part of level 3 support).
• Become technically solid for the cloud data platform.
• Evaluate and resolve technical debt, engage in platform modernization and build reliable features.
• Recommend and implement best practices and standards for the cloud data platforms.

People and Leadership

• Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.
• Interface across multiple engineering teams and engineering groups working on various parts of the platform.
• Mentor and develop junior team members.

Process

• Ensure efficient operation of Scrum within the team.
• Analyze and update tools and processes when required.
• Measure key team metrics.

Qualifications

• Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered. 
• 3+ years of experience in cloud data engineering. 
• 2+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.
• 1+ years working with ETL tools (MS SSIS or similar).
• Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).
• Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Additional experience that is a plus to have:

• AWS Certified Data Engineer – Associate
• AWS Certified Cloud Practitioner
• AWS Certified AI Practitioner

Shift4 is expanding globally and seeking a key Senior AWS Cloud Data Engineer to join our team of world-class in-house engineers that will contribute to the technology, architecture and engineering delivery across an AWS Cloud Data Services team.

As a Senior AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization’s data-driven initiatives. We seek self-driven and motivated individuals who take ownership of their projects. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

Technology:

• Work hands on within the cloud data platform to deliver new features, fix issues and ensure best practices.
• Contribute to the technical design and architecture development for parts of the solution. Ensure that best practices are defined and adhered to
• Diagnose and resolve issues with deployed systems (as part of level 3 support).
• Become a technical expert for the cloud data platform.
• Evaluate and resolve technical debt, engage in platform modernization and build reliable features.
• Recommend and implement best practices and standards for the cloud data platforms.

People and Leadership

• Work closely with multiple engineering teams, product owners and stakeholders to understand needs and meet data requirements.
• Interface across multiple engineering teams and engineering groups working on various parts of the platform.
• Mentor and develop junior team members.

Process

• Ensure efficient operation of Scrum within the team.
• Analyze and update tools and processes when required.
• Measure key team metrics.

Qualifications

• Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Experience in lieu of a degree may be considered. 
• 5+ years of experience in cloud data engineering. 
• 4+ years working with AWS services including Redshift, AWS Glue, Lambda, DMS, Kinesis, etc.
• 2+ years working with ETL tools (MS SSIS or similar).
• Significant hands-on experience working with databases, schemas, complex queries, data modeling, stored procedures, etc. (MS SQL Server, Postgres and Redshift preferred).
• Excellent communication skills in English, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Additional experience that is a plus to have:

• AWS Certified Data Engineer – Associate
• AWS Certified Cloud Practitioner
• AWS Certified AI Practitioner

#LI-BN1

Shift4 is expanding globally and we are seeking a Senior Technical Business Analyst with a Business Intelligence focus to join our Information Technology Group. In this role, you will gather and translate business requirements into actionable insights, ensuring the effective flow of information and data across the organization. You will collaborate with stakeholders to define, validate, and deliver business intelligence (BI) solutions, leveraging strong analytical skills, technical expertise, and communication abilities to support organizational goals. 

This role is onsite and can be based at any of the following Shift4 locations: Tampa, FL / Atlanta, GA / Las Vegas, NV / Center Valley, PA

Responsibilities

• Collaborate with stakeholders to understand and translate business needs into clearly defined, documented requirements for bugs, enhancements, and system developments.
• Create and maintain deliverables including vision/scope documents, requirements, mockups, designs, and flow diagrams.
• Manage stakeholder requests using established SDLC practices to maintain accountability and traceability.
• Conduct User Acceptance Testing (UAT) with stakeholders to validate that deliverables meet requirements and customer needs.
• Provide support in creating and tracking project deliverables and work items in the ticket tracking system.
• Contribute to and enforce the adoption of Business Intelligence solutions across teams.
• Support the development of key metrics and shared goals to measure success.
• Ensure BI governance, data accuracy, and effective communication of insights to cross-functional stakeholders.

Qualifications

• 5+ years of experience in business analysis of data movement and business intelligence reports.
• Advanced experience with requirements elicitation, stakeholder management, and solution documentation.
• Proficiency in BI tools such as Tableau and ETL tools.
• Experience with data sources including AWS Redshift, Postgres, SQL Server, Amazon Athena, Excel, and flat files.
• Strong SQL skills (T-SQL, MySQL, PostgreSQL).
• Experience working with large datasets, Enterprise Data Warehouses, and Dimensional Databases.
• Advanced understanding of SDLC processes and experience with Agile frameworks (KANBAN, Scrum).
• Familiarity with Jira and Confluence is a plus.
• Excellent organizational, communication skills (English) and problem-solving skills with the ability to prioritize multiple tasks and adapt to changing priorities.
• Bachelor’s degree in Computer Science, Information Systems, or related field Experience in lieu of a degree may be considered. 
• Certifications in Agile Scrum or PMP are a plus to have.

#LI-BN1

Data Engineer

Department: Product Development 

Reports to: Senior Manager, Data Engineering 

Suvoda is seeking a recent graduate with a passion for data and a strong technical foundation to join our Product Development team. This is an opportunity to launch a data engineering career at Suvoda — a global clinical trial technology company where your work directly helps advance human health. 

As a Data Engineer, you’ll join a collaborative team building a modern, cloud-native data platform. You’ll help build domain-oriented data products using GraphQL APIs and contribute to near real-time reporting through AWS DMS replication to Aurora PostgreSQL.

Responsibilities: 

• Assist in implementing a data mesh architecture using GraphQL APIs to expose domain-owned data products. 
• Help build and maintain an AWS-based data lake using S3, Glue, Lake Formation, Athena, and Redshift. 
• Develop and maintain ETL/ELT pipelines using AWS Glue and PySpark for batch and streaming data workloads. 
• Support AWS DMS pipelines to replicate data into Aurora PostgreSQL for near real-time analytics. 
• Follow best practices for data governance, quality, observability, and API design. 
• Collaborate with product, engineering, and analytics teams to deliver reliable data solutions. 
• Contribute to CI/CD and automation efforts for data infrastructure and pipelines. 
• Stay curious — explore emerging tools and share ideas that could make our platform even better. 

Requirements: 

• Bachelor’s degree in technical fields such as Computer Science or Mathematics. 
• Strong foundational skills in Python and SQL — you’re comfortable writing queries and scripts from scratch. 
• Academic or project experience with data engineering concepts: pipelines, data modeling, or ETL/ELT workflows. 
• Exposure to cloud platforms, particularly AWS (coursework, personal projects, or internships all count). 
• Familiarity with data structures, distributed systems, or database design — you understand the “why” behind the tools. 
• A collaborative mindset and strong communication skills — you ask good questions and explain your thinking clearly. 
• A genuine enthusiasm for data and a desire to keep learning in a fast-moving environment. 

Nice to Have:

• Master’s degree or relevant certifications. 
• Experience with event-driven architectures (e.g., Kafka, Kinesis). 
• Familiarity with data cataloging and metadata management tools. 
• Awareness of data privacy and compliance standards (e.g., GDPR, HIPAA). 
• Exposure to agile development and DevOps practices. 

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings