The Sr. Data Engineer will play a critical role in building and maintaining large-scale data systems that drive actionable insights across the organization. Working on a globally distributed cloud platform, this role involves designing scalable data pipelines, managing structured and unstructured data, and delivering reliable analytics solutions. The position requires collaboration with product, analytics, software development, and business teams to ensure high-quality data infrastructure and solutions. The ideal candidate is technically strong, detail-oriented, and thrives in both independent and collaborative environments. This role offers the opportunity to influence key business decisions through data, optimize data-driven workflows, and contribute to cutting-edge cloud-based analytics platforms.

Accountabilities

Design, develop, and maintain robust, large-scale data systems and pipelines for analytics and business intelligence initiatives
Build sustainable and scalable ETL/ELT pipelines for both batch and stream processing
Collaborate with product, analytics, software, and business stakeholders to deliver reliable, high-performing data solutions
Ensure data systems are optimized for performance, scalability, and maintainability
Implement best practices for data modeling, data warehousing, and data lakehouses
Work with cloud technologies and tools to support data orchestration, transformation, and storage
Monitor, troubleshoot, and optimize data infrastructure for reliability and accuracy

Requirements

Bachelor's degree in Mathematics, Statistics, Computer Science, or related field
5+ years of experience as a Data Engineer, Software Engineer, or similar role
Strong experience designing scalable data architectures, including building data pipelines for batch and stream processing
Hands-on expertise with AWS big data technologies (Glue, Kinesis, Lambda) and cloud data platforms (Snowflake, dbt)
Advanced SQL skills (Postgres, Snowflake) and intermediate to advanced Python programming abilities
Experience with data orchestration tools (Airflow) and infrastructure-as-code (Terraform)
Knowledge of software development lifecycle principles and best practices
Familiarity with analytics tools such as Tableau or Power BI
Strong analytical, problem-solving, and collaboration skills; capable of distilling complex data challenges into actionable insights

Preferred Skills:

Knowledge of encryption, anonymization, and tokenization techniques
Experience with CI/CD pipelines and containerization technologies
Previous experience in a SaaS or technology-driven company

Benefits

Competitive base salary: $135,000 - $160,000 per year
10% incentive bonus and equity participation
Comprehensive healthcare and wellness options
Retirement/pension plan contributions and stock plan participation
Generous paid time off, company holidays, and volunteer time
Learning and development opportunities, including tuition reimbursement and hackathons
Home office setup allowance
Additional benefits: pet insurance, identity theft protection, and legal assistance (location-dependent)

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias—focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company. The final decision and next steps (such as interviews or additional assessments) are made by their internal hiring team.

Thank you for your interest!