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Experience Level
Experience
Qualifications
QualificationsProficiency in data engineering principles and practices. Experience with data lake architecture and management. Strong analytical skills and familiarity with data visualization tools. Ability to automate workflows and processes effectively. Excellent communication and collaboration skills.
About the job
Join the GTM Engineering Team at TRACTIAN
At TRACTIAN, our Go-To-Market (GTM) team operates on a global scale, providing essential support to our operations in the US, Brazil, and Mexico. We are a pivotal team dedicated to constructing the data infrastructure, systems, and processes that bolster our GTM efforts, significantly enhancing our customer experience.
Your Role
As a Data Engineer specializing in GTM at TRACTIAN, you will design and optimize our revenue data analytics infrastructure, empowering our GTM operations. Your primary responsibilities will include managing a customer data lake, automating account enrichment processes, and streamlining revenue workflows. This dynamic role requires collaboration across various functions and integrates data engineering, analytics, and GTM strategy, utilizing top-tier tools.
About TRACTIAN
TRACTIAN is an innovative technology company specializing in providing data-driven solutions that enhance operational efficiency and customer satisfaction across various industries.
Valorem Reply is a distinguished digital transformation firm committed to providing innovative, data-driven solutions that enhance enterprise operations, modernize IT infrastructure, elevate customer experience, and facilitate product transformation. With a strong emphasis on leveraging Microsoft technologies, we deliver scalable and agile digital services, …
PrizePicks is looking for a Data Platform Engineer to join the team. This position centers on building and maintaining the company's core data infrastructure. Ensuring that data moves reliably and remains accessible throughout the organization is a key part of the job. Role overview Work involves supporting the systems that handle data flow and storage. The engineer will collaborate closely with colleagues from a range of disciplines to make sure data needs are met across different teams. Location The team prefers candidates based in Atlanta, GA, but remote applicants will also be considered.
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Full-time|On-site|Atlanta, Georgia, United States; Center Valley, Pennsylvania, United States; Las Vegas, NV; Tampa, Florida, United States
Role overview Shift4 Payments is looking for an AWS Cloud Data Engineer to help build and maintain cloud-based data processing systems. The position involves designing, developing, and supporting solutions that keep data flowing smoothly and analytics reliable. Locations Atlanta, Georgia Center Valley, Pennsylvania Las Vegas, Nevada Tampa, Florida What you will do Design and develop data processing systems on AWS Maintain and improve cloud-based analytics infrastructure Support consistent data flow for analytics and reporting
Join Relex Solutions as a Senior Data Engineer within our Pricing & Promotions team in Atlanta, GA. In this pivotal role, you will be instrumental in developing and optimizing data pipelines, ensuring our pricing strategies are data-driven and effective.Your expertise will guide the integration of complex datasets to deliver actionable insights that enhance our promotional strategies.
Full-time|Remote|Netherlands, Remote; Spain, Remote; United Kingdom, Remote; United States, Atlanta; United States, Boston; United States, Charlotte; United States, Chicago; United States, Cincinnati; United States, Miami; United States, Milwaukee; United States, Minneapolis; United States, Philadelphia; United States, Raleigh; United States, St. Louis; United States, Tampa
About Dataiku Dataiku provides a platform for building, deploying, and managing AI and analytics at scale. The company helps organizations design and operate analytics, machine learning, and AI agents with transparency and control. Dataiku connects the enterprise AI stack, supporting centralized governance and multi-vendor environments. Learn more on the Dataiku blog, LinkedIn, X, and YouTube. Role Overview Dataiku is hiring a Data Engineer II for the Enterprise Data and Analytics (EDA) team. This role focuses on delivering reliable data to drive analytics, AI, and insights for teams across the company. The Data Engineer II will play a central part in supporting the Data Platform, which serves centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users. What You Will Do Contribute technical expertise to the Data Platform, working with Snowflake, Dataiku, and GitHub. Develop solutions using Python and SQL, with DataOps processes integrated into GitHub Actions and Dataiku. Collaborate with engineers from other teams to deliver solutions across various technical domains. Promote engineering best practices within the EDA team and the broader Analytics Community. Support analytics and AI initiatives for a wide range of stakeholders. What We Look For Experience with Snowflake, Dataiku, GitHub, Python, and SQL. Understanding of the software development lifecycle and DataOps methodologies. Strong collaboration skills and the ability to work across teams. Clear verbal and written communication. Analytical mindset and curiosity. Locations This position is open to candidates in the Netherlands (remote), Spain (remote), United Kingdom (remote), and the following US cities: Atlanta, Boston, Charlotte, Chicago, Cincinnati, Miami, Milwaukee, Minneapolis, Philadelphia, Raleigh, St. Louis, and Tampa.
At CapTech, our Data Engineering consultants empower clients to create and sustain sophisticated data systems that consolidate information from various sources, enabling informed decision-making. We design and implement data pipelines, preparing data for utilization by data scientists, analysts, and other data systems. Passionate about problem-solving, we strive to deliver innovative solutions that meet our clients' needs. Our Cloud Data Engineers harness cloud infrastructure to provide immediate value while ensuring scalability for the future. We foster a collaborative environment that encourages knowledge-sharing among developers, architects, and clients.Key responsibilities for the Cloud Data Engineer position include:Creating data pipelines and data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).Consulting with clients on technology and methodologies for effectively ingesting and processing data.Applying engineering best practices to tackle complex data challenges.Working closely with end users, development teams, and business analysts to ensure data architecture maximizes organizational value.Explaining architectural distinctions between solution approaches along with their pros and cons.
Join the GTM Engineering Team at TRACTIANAt TRACTIAN, our Go-To-Market (GTM) team operates on a global scale, providing essential support to our operations in the US, Brazil, and Mexico. We are a pivotal team dedicated to constructing the data infrastructure, systems, and processes that bolster our GTM efforts, significantly enhancing our customer experience.Your RoleAs a Data Engineer specializing in GTM at TRACTIAN, you will design and optimize our revenue data analytics infrastructure, empowering our GTM operations. Your primary responsibilities will include managing a customer data lake, automating account enrichment processes, and streamlining revenue workflows. This dynamic role requires collaboration across various functions and integrates data engineering, analytics, and GTM strategy, utilizing top-tier tools.
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Full-time|On-site|Atlanta, Georgia, United States; Center Valley, Pennsylvania, United States; Las Vegas, NV; Tampa, Florida, United States
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Full-time|$140K/yr - $200K/yr|Remote|Atlanta, GA, USA
Speechify builds tools that turn reading materials into audio, helping over 50 million people access content in new ways. Our products work across iOS, Android, Mac, Chrome Extension, and Web. Google named us Chrome Extension of the Year, and Apple recognized us with the 2025 Design Award for Inclusivity. Our remote team includes nearly 200 professionals from leading tech companies and top universities. Collaboration happens across frontend and backend engineering, AI research, and more, without a central office. About the Role The Data team in Speechify’s AI group is hiring a Software Engineer focused on data infrastructure and acquisition. This role is central to collecting and managing the large-scale datasets that support our model training. The work combines infrastructure, engineering, and research to deliver high-quality data at petabyte scale and low cost. What You Will Do Find and source new audio data for our ingestion pipeline. Manage and improve our cloud infrastructure for data ingestion, currently on Google Cloud Platform (GCP) and maintained with Terraform. Work with Scientists to optimize cost, throughput, and data quality, supporting larger and richer datasets for advanced models. Partner with the AI team and company leadership to shape the dataset roadmap for future consumer and enterprise products. Location This position is based in Atlanta, GA, USA.
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