Senior Data Engineer
Aspire Tech IT solution
New York, NY 10040$135,000 - $180,000 a yearFull Time
Job Description
*Senior Data Engineer*
United States
Full-Time
Pay Range: $135,000 – $180,000 per year
Visa: H1B Sponsorship Available | STEM OPT & OPT Candidates Welcome
*Position Overview*
We are seeking an experienced *Senior Data Engineer* to design, build, and optimize scalable data pipelines and distributed data systems. This role requires strong expertise in big data technologies, cloud platforms, ETL development, and data warehousing.
The ideal candidate will lead data architecture initiatives, mentor junior engineers, and collaborate with Data Scientists, Analysts, and cross-functional teams to support data-driven decision-making.
*Key Responsibilities*
* Design and implement scalable ETL/ELT data pipelines
* Build and optimize batch and real-time data processing systems
* Develop and maintain data lakes and data warehouses
* Ensure data quality, integrity, and governance standards
* Optimize SQL queries and large-scale data transformations
* Work with structured and unstructured datasets
* Collaborate with Data Science and BI teams
* Implement CI/CD for data pipelines
* Lead architecture discussions and mentor junior engineers
*Required Qualifications*
* Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related STEM field
* 5+ years of professional experience in Data Engineering
* Strong understanding of distributed systems and big data architecture
* Advanced SQL and database optimization skills
* Experience with data modeling and dimensional modeling
*Technical Skills (ATS Keywords)Programming Languages*
* Python
* Java
* Scala
* SQL
* PySpark
*Big Data & Processing Frameworks*
* Apache Spark
* Hadoop
* Kafka
* Apache Airflow
* Databricks
* Flink
*Databases & Data Warehousing*
* Snowflake
* Amazon Redshift
* Google BigQuery
* Azure Synapse
* PostgreSQL
* MySQL
* MongoDB
* Cassandra
*Cloud Platforms*
* AWS (S3, EMR, Glue, Lambda, Redshift)
* Microsoft Azure (Data Factory, Synapse, ADLS)
* Google Cloud Platform (BigQuery, Dataflow, Pub/Sub)
*DevOps & Tools*
* Docker
* Kubernetes
* Terraform
* Git
* Jenkins
* CI/CD pipelines
* Linux/Unix
*Architecture & Methodologies*
* Data Lake Architecture
* Data Warehouse Design
* ETL/ELT Pipelines
* Real-Time Streaming
* Microservices Architecture
* Agile/Scrum
* Data Governance & Security
*Preferred Qualifications*
* Experience building high-volume, low-latency data systems
* Knowledge of machine learning data pipelines
* Experience with event-driven architecture
* Strong leadership and mentoring skills
* Experience in performance tuning and cost optimization in cloud environments
*Compensation & Benefits*
* Competitive salary: $135,000 – $180,000 annually
* Performance-based bonuses
* Health, Dental, and Vision insurance
* 401(k) with company match
* Paid Time Off (PTO)
* H1B transfer & new sponsorship support
* STEM OPT extension support
* Career advancement opportunities
*Equal Opportunity Employer*
We are an Equal Opportunity Employer and encourage applications from diverse backgrounds, including international candidates requiring H1B sponsorship or STEM OPT support.
Job Type: Full-time
Pay: $135,000.00 - $180,000.00 per year
Benefits:
* 401(k)
* 401(k) matching
* Relocation assistance
Work Location: In person
United States
Full-Time
Pay Range: $135,000 – $180,000 per year
Visa: H1B Sponsorship Available | STEM OPT & OPT Candidates Welcome
*Position Overview*
We are seeking an experienced *Senior Data Engineer* to design, build, and optimize scalable data pipelines and distributed data systems. This role requires strong expertise in big data technologies, cloud platforms, ETL development, and data warehousing.
The ideal candidate will lead data architecture initiatives, mentor junior engineers, and collaborate with Data Scientists, Analysts, and cross-functional teams to support data-driven decision-making.
*Key Responsibilities*
* Design and implement scalable ETL/ELT data pipelines
* Build and optimize batch and real-time data processing systems
* Develop and maintain data lakes and data warehouses
* Ensure data quality, integrity, and governance standards
* Optimize SQL queries and large-scale data transformations
* Work with structured and unstructured datasets
* Collaborate with Data Science and BI teams
* Implement CI/CD for data pipelines
* Lead architecture discussions and mentor junior engineers
*Required Qualifications*
* Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related STEM field
* 5+ years of professional experience in Data Engineering
* Strong understanding of distributed systems and big data architecture
* Advanced SQL and database optimization skills
* Experience with data modeling and dimensional modeling
*Technical Skills (ATS Keywords)Programming Languages*
* Python
* Java
* Scala
* SQL
* PySpark
*Big Data & Processing Frameworks*
* Apache Spark
* Hadoop
* Kafka
* Apache Airflow
* Databricks
* Flink
*Databases & Data Warehousing*
* Snowflake
* Amazon Redshift
* Google BigQuery
* Azure Synapse
* PostgreSQL
* MySQL
* MongoDB
* Cassandra
*Cloud Platforms*
* AWS (S3, EMR, Glue, Lambda, Redshift)
* Microsoft Azure (Data Factory, Synapse, ADLS)
* Google Cloud Platform (BigQuery, Dataflow, Pub/Sub)
*DevOps & Tools*
* Docker
* Kubernetes
* Terraform
* Git
* Jenkins
* CI/CD pipelines
* Linux/Unix
*Architecture & Methodologies*
* Data Lake Architecture
* Data Warehouse Design
* ETL/ELT Pipelines
* Real-Time Streaming
* Microservices Architecture
* Agile/Scrum
* Data Governance & Security
*Preferred Qualifications*
* Experience building high-volume, low-latency data systems
* Knowledge of machine learning data pipelines
* Experience with event-driven architecture
* Strong leadership and mentoring skills
* Experience in performance tuning and cost optimization in cloud environments
*Compensation & Benefits*
* Competitive salary: $135,000 – $180,000 annually
* Performance-based bonuses
* Health, Dental, and Vision insurance
* 401(k) with company match
* Paid Time Off (PTO)
* H1B transfer & new sponsorship support
* STEM OPT extension support
* Career advancement opportunities
*Equal Opportunity Employer*
We are an Equal Opportunity Employer and encourage applications from diverse backgrounds, including international candidates requiring H1B sponsorship or STEM OPT support.
Job Type: Full-time
Pay: $135,000.00 - $180,000.00 per year
Benefits:
* 401(k)
* 401(k) matching
* Relocation assistance
Work Location: In person