Data Engineer II (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

10 Jan, 26

Salary

125000.0

Posted On

12 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, ELT, SQL, Python, Java, Scala, Cloud Platforms, Data Quality, Data Governance, Apache Spark, Apache Airflow, DevOps, CI/CD, Data Warehousing, Machine Learning

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer II in the United States. As a Data Engineer II, you will play a central role in designing, building, and maintaining scalable data pipelines and infrastructure that enable analytics, reporting, and machine learning initiatives. You will collaborate closely with data scientists, analysts, architects, and product owners to ensure data is accurate, secure, and accessible for business and research purposes. This position offers the opportunity to work with modern cloud-based data platforms, implement best practices for data quality and governance, and contribute to continuous improvement of data workflows. You will also support production-ready data systems, troubleshoot performance issues, and help mentor junior team members in coding and operational standards. The role combines technical expertise with cross-functional collaboration to deliver high-impact, data-driven solutions. Accountabilities Design, implement, and optimize ETL/ELT pipelines to transform raw data into structured, reliable datasets. Develop and maintain data models, including star/snowflake schemas, operational data stores, data warehouses, and data lakes. Collaborate with stakeholders to translate business requirements into technical data solutions. Manage cloud-based data platforms and tools (e.g., AWS, GCP, Azure, Redshift, BigQuery, Databricks, Snowflake). Monitor pipeline performance, optimize SQL queries, and ensure scalability, throughput, and cost-efficiency. Implement data quality monitoring, validation, and alerting to maintain accuracy and completeness. Document pipelines, transformations, and system architecture, adhering to best practices. Mentor junior data engineers on coding standards, tools, and workflows. Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent work experience; Master’s degree preferred. 2+ years of experience in data engineering, analytics engineering, or software engineering. Proven experience delivering production-ready ETL/ELT pipelines and modern data stack solutions. Strong programming skills in SQL, Python, Java, or Scala. Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB). Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Apache Airflow, DBT, AWS Glue, Databricks, Snowflake, or Dagster. Cloud platform experience (AWS, GCP, Azure) including compute, storage, and networking management. Knowledge of DevOps and CI/CD practices (Terraform, Docker, Kubernetes, GitHub Actions). Understanding of data governance, security, and compliance, including handling PII/PHI data. Strong collaboration and communication skills to work effectively across technical and business teams. Preferred: AWS or GCP certifications, experience in life sciences or genomics industries. Competitive salary range of $100,000–$125,000 per year, plus eligibility for a Short-Term Incentive Plan (target: 7.5%). Flexible remote work opportunities within the United States. Comprehensive medical, dental, and vision coverage. Paid time off (PTO) and sick leave for work-life balance. 401(k) retirement plan with employer contribution. Professional development, mentorship, and growth opportunities. Collaborative and innovative work environment that encourages learning and problem-solving. 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 performs 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, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Design, build, and maintain scalable data pipelines and infrastructure for analytics and machine learning. Collaborate with cross-functional teams to ensure data accuracy, security, and accessibility.