Data Engineer Jobs USA (AWS | Python | ETL | Remote |
📍 Location: Remote (USA)
🛂 Visa: USC / H1B Sponsorship Available
🚀 About the Role
Data Engineer Jobs USA We are hiring a highly skilled Data Engineer to join a fast-growing healthcare technology company that is transforming how data drives clinical, operational, and business decisions. This is a high-impact, fully remote opportunity where you will design and build scalable data pipelines, cloud-based data platforms, and real-time data processing systems using modern technologies Data Engineer Jobs USA
As a Data Engineer Jobs USA (AWS, Python, SQL), you will be responsible for building robust ETL/ELT pipelines, ensuring data quality, governance, and security, and enabling data-driven decision-making across multiple teams including analytics, product, and engineering Data Engineer Jobs USA
This role is ideal for candidates who are passionate about big data engineering, cloud computing, and data architecture, and want to work on high-paying, high-growth data engineering projects in the USA market Data Engineer Jobs USA
🎯 Key Responsibilities
1. Build Scalable Data Pipelines
- Design, develop, and maintain high-performance ETL/ELT pipelines using Python and SQL
- Process structured and unstructured data from multiple sources
- Build batch and real-time data processing systems
- Ensure pipelines are optimized for low latency, scalability, and cost efficiency
2. Data Integration & Ingestion
- Ingest data from:
- REST APIs
- Databases (SQL & NoSQL)
- Cloud storage systems
- Streaming platforms (Kafka/Kinesis)
- Develop reusable frameworks for data ingestion and transformation ( how to start a career in cybersecurity )
3. Cloud Data Engineering (AWS Focus)
- Work extensively with AWS data services:
- Amazon S3 (data lake storage)
- AWS Glue (ETL jobs)
- AWS Lambda (serverless processing)
- Amazon Redshift (data warehouse)
- Amazon Athena (query engine)
- Amazon EMR (big data processing)
- Implement cloud-native data architectures and best practices Java interview preparation guide
4. Data Modeling & Warehousing
- Design efficient data models (star schema, snowflake schema)
- Build and maintain data warehouses and data lakes
- Optimize queries for high-performance analytics workloads
5. Data Quality, Monitoring & Governance
- Implement data validation, cleansing, and transformation rules
- Build monitoring systems for pipeline failures and anomalies
- Ensure compliance with data security and governance policies (HIPAA, GDPR where applicable)
6. Collaboration & Stakeholder Management
- Work closely with:
- Data Analysts
- Data Scientists
- Product Managers
- Software Engineers
- Translate business requirements into technical data solutions
7. Performance Optimization
- Improve pipeline efficiency and reduce compute/storage costs
- Optimize SQL queries and indexing strategies
- Tune distributed systems for large-scale data processing
🛠️ Technical Skills (Must-Have)
Programming & Scripting
- Strong expertise in Python for Data Engineering
- Pandas, NumPy
- PySpark (preferred)
- Experience with automation, scripting, and backend data workflows
SQL & Databases
- Advanced knowledge of SQL
- Experience with:
- Amazon Redshift
- Snowflake (high-demand, high salary skill)
- PostgreSQL / MySQL
- Strong understanding of:
- Query optimization
- Indexing
- Partitioning
ETL / ELT Tools
- Hands-on experience with:
- AWS Glue
- Apache Airflow (workflow orchestration)
- dbt (data transformation tool)
- Custom ETL frameworks
Cloud Computing (AWS – High CPC Skill Area)
- Deep experience with:
- AWS Data Engineering Stack
- Serverless architectures
- Infrastructure as Code (CDK preferred)
Big Data Technologies (Preferred)
- Apache Spark / PySpark
- Hadoop ecosystem
- Kafka / Kinesis for streaming
📊 Nice-to-Have Skills
- Experience with Machine Learning data pipelines
- Knowledge of DataOps and MLOps practices
- Familiarity with CI/CD pipelines (DevOps integration)
- Experience working in healthcare data systems
- Understanding of data governance frameworks
🎓 Education & Certifications
- Bachelor’s or Master’s degree in:
- Computer Science
- Data Science
- Information Technology
- Engineering
Preferred Certifications (Boost Salary & Selection Chances)
- AWS Certified Data Analytics – Specialty
- AWS Certified Solutions Architect
- Google Cloud Data Engineer (optional)
💼 Experience Requirements
- 3–8+ years of experience as a Data Engineer / Big Data Engineer
- Proven track record of:
- Building production-grade data pipelines
- Working with large-scale datasets (TB/PB level)
- Implementing cloud-based data solutions
💰 Salary & Benefits Competitive Data Engineer Salary USA ($110K – $160K+)
- Remote work flexibility
- H1B sponsorship available
- Performance bonuses
- Health insurance (medical, dental, vision)
- Paid time off
👉 This role targets candidates searching for:
“High Paying Data Engineer Jobs USA”,
“Remote AWS Data Engineer Jobs”,
“H1B Sponsorship Data Engineer Jobs”,
“Python Data Engineer Salary USA”
🌍 Why Join Us?
- Work on cutting-edge healthcare data platforms
- Opportunity to solve real-world data challenges
- Exposure to modern cloud technologies (AWS, Snowflake, Big Data)
- Collaborate with top-tier engineers and data professionals
- Career growth in a high-demand, high-paying tech domain
📈 Career Growth Opportunities
This role opens doors to:
- Senior Data Engineer
- Data Architect
- Machine Learning Engineer
- Cloud Data Engineer
With experience, you can move into $180K+ salary roles in the US tech market.
📩 How to Apply
Interested candidates can share their updated resume to:
📧 rekhab@dazzletek.com
Frequently Asked Questions (FAQ)
1. Is this role fully remote?
Yes, this is a 100% remote Data Engineer position within the USA.
2. Is H1B sponsorship available?
Yes, we support H1B visa sponsorship and USC candidates.
3. What is the primary tech stack?
AWS (S3, Glue, Redshift), Python, SQL, Airflow, dbt.
4. What kind of projects will I work on?
You will work on large-scale healthcare data systems, ETL pipelines, and analytics platforms.
5. Is Snowflake experience mandatory?
Not mandatory, but highly preferred and increases salary potential significantly.
🔥 Final Note
If you are looking for a high-paying remote Data Engineer job in the USA with H1B sponsorship, and you have strong expertise in AWS, Python, SQL, and ETL pipelines, this is the perfect opportunity to accelerate your career.
