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Analytics Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Analytics Engineer on a year-long contract, offering market rate pay. It requires expertise in Snowflake, SQL, ELT/ETL, and Python, with a focus on data pipeline development, integration, and governance. Remote work is based in the Philippines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 13, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Data Architecture #Azure #Clustering #Batch #SQL (Structured Query Language) #Datasets #Data Layers #Deployment #Matillion #Cloud #Compliance #Snowflake #Data Management #Python #Fivetran #JDBC (Java Database Connectivity) #Computer Science #Physical Data Model #Monitoring #Documentation #BI (Business Intelligence) #Metadata #Data Pipeline #Data Integration #Data Warehouse #Scala #GIT #Data Integrity #DevOps #Data Quality #Automation #Data Governance #Storage #ODBC (Open Database Connectivity) #Security #Version Control #BitBucket #Data Transformations #"ETL (Extract #Transform #Load)"
Role description
Full Time Contract Title or Role: Analytics Engineer Compensation: Market Rate Location:Remote Philippines Length of Contract: Year+ • Design, build, and maintain enterprise data platforms Architect scalable, secure, and high-performance data solutions using Snowflake as the core data warehouseDesign logical and physical data models across raw, integrated, and curated data layers • Develop and optimize data pipelines Build and maintain ETL/ELT pipelines using tools such as Matillion, Fivetran, and PythonImplement diverse ingestion patterns including batch, micro-batch, CDC, and streamingEnsure efficient data transformations using advanced SQL and Snowflake-native capabilities • Ensure data quality, reliability, and availability Implement data validation, reconciliation, and monitoring to ensure high data integrityDevelop and maintain monitoring dashboards to track pipeline health, performance, and failuresProactively identify and resolve data pipeline and performance issues • Snowflake platform administration and optimization Design and manage Snowflake schemas, warehouses, and RBAC policiesOptimize performance and cost through warehouse sizing, clustering, query tuning, and workload isolationMaintain secure-by-default frameworks for authentication, authorization, and data protection • Data integration and analytics enablement Integrate Snowflake with downstream analytics and BI tools such as QlikSenseEnable self-service analytics by delivering reliable, well-documented, and accessible datasetsSupport multi-mart and enterprise analytics use cases • Cloud and architecture collaboration Leverage cloud-native data warehousing concepts (elastic compute, scalable storage)Collaborate with architects, analysts, and application teams to design end-to-end data solutionsContribute to enterprise data architecture and modernization initiatives • Automation, DevOps, and documentation Develop Python scripts for automation, orchestration, and custom transformationsUse Git-based version control (, Bitbucket) and CI/CD practices for deployment and change managementCreate and maintain clear technical documentation, data flow diagrams, and operational runbooks • Governance, security, and compliance Support data governance initiatives, including data quality, metadata management, and catalog integrationCollaborate with QA/testing teams to ensure accurate testing and reconciliationImplement and maintain security integrations (, Azure AD, SSO, MFA) and follow enterprise risk mitigation practices Qualifications Snowflake, SQL, EL/ELT Architecture & Development, Python Strong expertise in Snowflake: designing, building, and maintaining data pipelines, architectures, schemas, and RBAC policies; integrating with connectors (Python, JDBC/ODBC, etch); and ensuring secure-by-default frameworks with authentication, authorization, and data protection Proficiency in advanced SQL for analytics, transformations, and performance tuning Hands-on experience with diverse ingestion patterns (ETL, ELT, streaming, CDC, micro-batches) and strong understanding of data integration concepts and techniques Experience maintaining and optimizing Snowflake, Matillion, Fivetran, and QlikSense architectures for scalability, reliability, and performance Working knowledge of cloud platforms and cloud-native data warehousing approaches (elastic compute, scalable data stores, multi-mart support) Skilled in creating and maintaining monitoring dashboards for pipeline health and optimization Ability to write clear, concise technical documentation and contribute to scalable, reliable solution design Education & Certifications: • Bachelor's degree in a relevant field (, Computer Science, Engineering, Information Technology) preferred. Equal Opportunity Employer: RCM is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Pay Transparency RCM believes in transparency and fairness in compensation. We are committed to providing our employees with competitive salaries that reflect their skills, experience, and contributions to our organization. As part of our commitment to pay transparency, we want to provide you with as much information as possible about our compensation practices. About RCM RCM Technologies, Inc. (Nasdaq: RCMT) is a business and technology solutions provider with world-class talent in key market segments. We help design, build, and enable the Industries of Tomorrow, Today. Operating at the intersection of resources, critical infrastructure, and modernization of industries, RCM is a provider of services in Life Sciences, Data & Solutions (IT), Healthcare, Engineering, Aerospace & Defense, and Process & Industrial. Disclaimer This job posting is intended to describe the general nature and the level of the work to be performed. It is not intended to include every job duty and responsibility specific to the position. RCM reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.