Data Automation Engineer

Job not on LinkedIn

🕒 June 18

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Synmatch AI

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

👥 HR Tech

🤖 Artificial Intelligence

🎯 Recruiter

HR Tech • Artificial Intelligence • Recruitment

Synmatch AI is a pioneering company that redefines the hiring process by leveraging advanced artificial intelligence to facilitate global talent acquisition. The company aims to bridge the gap between skilled professionals and employers by streamlining the recruitment process, making it more efficient, fair, and accessible. With a curated database of pre-vetted candidates, Synmatch AI reduces biases and helps companies achieve faster hiring cycles, higher-quality matches, and diverse teams. The platform embodies a remote-first approach, reflecting its mission to unlock growth for organizations of all sizes and create equitable opportunities for talent around the world.

📋 Description

• Database Design : Design and maintain relational databases (PostgreSQL) for internal reporting and client projects • Pipeline Development : Build and operate ETL/ELT pipelines in Python to ingest data from diverse sources - APIs, SFTP, cloud exports, and third-party systems • Data Integration : Connect and integrate multiple data sources into unified data platforms (e.g., ERP systems, CRMs, accounting tools) • SQL Optimization : Write and optimize complex SQL queries for data transformation and reporting use cases • Dashboard Support : Support dashboard backends for Power BI and custom reporting tools • Finance Collaboration : Work closely with finance consultants to structure financial data and improve reporting efficiency

🎯 Requirements

• Database Development : 2–3 years of hands-on experience in SQL database development (PostgreSQL, MySQL, or similar) including schema design, indexing, and query optimization • Python Engineering : Strong Python skills for data engineering — building pipelines, API integrations, and automation workflows • Data Ingestion : Hands-on experience ingesting data from diverse sources: REST APIs, databases, and cloud platforms • Infrastructure Comfort : Comfortable working with command line, Linux environments, and containerized workflows (Docker) • Data Wrangling : Ability to structure and clean messy financial or operational data from heterogeneous sources • Development Practices : Familiarity with version control (Git) and CI/CD pipelines • Language : Fluent English - written and spoken • Work Style : Independent, quality-driven approach with hands-on mentality • Desirable (but not required): Familiarity with Power BI for reporting and dashboard development

🏖️ Benefits

• Professional Growth : Work on projects that transform companies while developing your own career • Development Opportunities : Genuine personal and professional growth pathways in data engineering • Client Impact : Build data systems that directly improve business reporting and decision-making • Collaborative Environment : Work alongside finance consultants and technical teams in a performance-driven culture