Job Description

Astro Sirens

is an IT staffing agency based in Austin, Texas. We connect talented professionals from around the world with U.S. companies, offering exciting opportunities to work on innovative projects for top clients.


We are currently seeking a

Senior Data Engineer

to help our clients design, build, and maintain robust, scalable data platforms that support analytics, machine learning, and business intelligence initiatives. This is a

remote position

, and we strongly encourage and give preference to candidates based in

India or Pakistan

who are eager to collaborate with U.S.-based teams.

Responsibilities

Design, build, and maintain scalable, reliable, and high-performance data pipelines Develop and manage ETL/ELT workflows to ingest data from multiple sources (APIs, databases, streaming systems, files) Architect and optimize data warehouses and data lakes for analytics and reporting use cases Ensure data quality, consistency, availability, and reliability across systems Collaborate with data scientists, analysts, software engineers, and business stakeholders to understand data requirements Implement data modeling best practices for analytical and operational workloads Optimize data pipelines for performance, cost efficiency, and scalability in cloud environments Build and maintain real-time and batch data processing systems Implement monitoring, logging, and alerting for data pipelines and infrastructure Enforce data governance, security, and compliance standards Document data architectures, pipelines, and best practices Mentor junior data engineers and contribute to improving data engineering standards and tooling across teams

Requirements

Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field 5+ years of experience in data engineering, backend data development, or related roles Strong proficiency in Python and/or Java/Scala for data processing Advanced experience with SQL and relational databases (PostgreSQL, MySQL, MS SQL, etc.) Hands-on experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery, Azure Synapse) Experience building ETL/ELT pipelines using tools or frameworks such as Airflow, dbt, Prefect, or similar Strong understanding of data modeling concepts (star/snowflake schemas, normalization, denormalization) Experience working with cloud platforms such as AWS, GCP, or Azure Familiarity with distributed data processing frameworks (e.g., Spark) Experience implementing CI/CD for data pipelines and infrastructure Strong communication skills and ability to work effectively with U.S.-based stakeholders

Preferred Qualifications

Experience with big data technologies such as Spark, Kafka, Hadoop, or Flink Knowledge of Docker, Kubernetes, and containerized data workloads Experience with streaming and real-time data pipelines Exposure to MLOps or supporting machine learning workflows Experience working with large-scale, high-volume data systems

Benefits

Paid Time Off (PTO) Work From Home Professional development opportunities Training & Development Programs Collaborative and inclusive company culture * Competitive salary and performance-based bonuses