Hello and thank you for your interest! We're looking for folks nationwide who are great at data entry and typing. We offer a flexible work from home remote position that allows you to stay home with the family! The pay range is flexible from $16/ph to $30/ph DOE and level of experience. You'll meet these requirements to work from home remotely • Stable Internet connection • Work can be done using the following: Phone device, laptap or computer • Must be able to type accurately with a minimum speed of 30 words per minute • Able to focus on tasks without being distracted • Must be resident of the US • Not afraid of emailing clients as needed We're looking for folks who we can depend on who can work from home remotely without distraction and are go-getters. Pay range from 16 to 30 hourly depending on the role, level of experience and proven ability to work from home at the same level as from an office. Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more • Must be 16 year of age or older • Must be proficient with basic PC skills • Must have an internet connection • Basic english written language • Basic english spoken language Thank you for your interest!

• Data Engineer to join our data team and play a central role in how we move, store, and shape data across the organisation. • You'll design robust pipelines, architect scalable storage solutions, and work shoulder-to-shoulder with Data Scientists to turn raw data into the foundation for meaningful decisions.

• Manage infrastructure as code (IaC) with Terraform, provisioning and configuring AWS resources (ECS, EMR, Lambda, Redshift, MSK, S3) and using the team's proprietary Terraform provider • Operate and evolve the Data Lake with Raw, Processed and Refined zones, including deduplication, cataloging and storage optimization (Parquet, Iceberg) • Administer and monitor Kafka clusters — topic creation, connectors, ACLs, credentials and tracking consumer lag for real-time streaming pipelines • Maintain and evolve the Platform API, which exposes Data Loader, File Loader, Static Loader, Data Streaming and Business Metrics features for self-service consumption by other teams • Investigate and resolve pipeline incidents (failed DAGs, dataset desynchronization, data duplication, Redshift/Spark issues), addressing root causes • Participate in modernization initiatives and integration with AI tools (Claude Code, MCP Servers) • Contribute to technical documentation and maintain observability tooling

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. What We Do Data forms the foundation of everything we do at Mapbox. It is integral to every product we offer, be it maps, navigation, or search, and it directly benefits our customers. The Mapbox Roads team plays a crucial role in constructing comprehensive global road networks for both visual and navigational purposes. What You'll Do Joining us as a Software Development Engineer, you'll play a key role in one of the aspects of developing software/tech for best-in-class road features, navigation, and high-definition maps. You'll bring your experience and skills to our exciting project within a competent, cross-functional, passionate, and self-organized team. In this role, you will: - Take ownership, improve, scale, and iterate on existing data processing pipelines. - Design and implement new data processing pipelines. - Collect and monitor performance metrics. - Play a key role in discussing and implementing security best practices. What We Believe are Important Traits for This Role - Good knowledge of at least one programming language (Python, Scala, or Java). - Experience with AWS services (S3, EC2, IAM, EMR, Glue, Athena, Kinesis) or any other cloud platform. - Comfortable with SQL and have a thorough understanding of SQL engine basics. - Proficient understanding of distributed computing principles. - Experience with at least one workflow management tool, such as Airflow, Oozie, or Luigi. - Strong analytical thinking and the ability to justify technical decisions. - Creative, resourceful, and innovative problem solver. - Excellent communication skills in English, both written and spoken. Nice to Have Traits for This Role - Prior experience in the mapping, navigation, or automotive industry. - Hands-on experience with data processing platforms/frameworks (Spark or other). What We Value In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote