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!

Role Description This is a remote position. Alternative Path is seeking a skilled Data Engineer to collaborate on client projects with an asset management firm. In this role, you will: - Collaborate with individuals across various company departments to shape and innovate new products and features for our platform. - Enhance existing products and features. - Work with a large degree of independence and trust, supported by the Engineering team leads, Product team leads, and other technology team members. - Contribute to a team-first meritocracy and help grow an entrepreneurial group inside Alternative Path. - Be expected to make your voice heard and take ownership of your contributions. Role Summary: - Design and implement a Python-based tool to automate the configuration and definition of quality control checks for vendor data sets. - Leverage LLM and data set documentation to understand critical fields and use machine learning algorithms to define a threshold for quality checks. - Configure checks in a proprietary data quality engine. - Set up new data feeds and review and adjust thresholds for existing checks on a periodic basis. - Work closely with Data Managers and Software Engineers to understand data sets and their existing checks. - Develop techniques to improve the coverage of checks across our platform. Qualifications - Must have a Bachelor’s or Master’s degree in computer science or engineering. - 3-5 years of experience in Data Engineering. - Strong experience building enterprise solutions in Python. - Experience with Pandas and data science transformation logic. - Exposure to SQL. - Preferred AWS experience including Kubernetes. - Preferred S3 experience. - Preferred Trino experience. Requirements - Self-motivated and self-sufficient. - Passion for tinkering and a love for automation. - Collaborate with other software engineers to understand and resolve requirements. - Design and implement a data quality automation tool using LLMs and machine learning algorithms. - Develop dashboards for data quality coverage and compliance. Company Description

• 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