Sr Data Engineer (Remote - US) - job 1 of 2

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Data Engineer in the United States.

The Sr Data Engineer will play a critical role in designing and implementing robust data management strategies to support business operations and analytics. You will work across multiple environments to acquire, cleanse, transform, and provision data while ensuring its reliability, security, and compliance. The role involves developing architectures, automation workflows, and monitoring capabilities to make raw data actionable and accessible for enterprise initiatives. You will collaborate with stakeholders to translate business needs into scalable data solutions, optimize processes, and deliver predictive and prescriptive insights. This position offers exposure to cutting-edge cloud technologies, big data platforms, and advanced analytics tools, providing significant impact on the organization’s data-driven decision-making.

Accountabilities

·         Design and implement standardized data management procedures for data ingestion, staging, transformation, provisioning, and destruction.

·         Ensure data quality and integrity across multiple zones and environments.

·         Develop and maintain data architectures aligned with business requirements, including automation scripts and workflows.

·         Conduct research and analysis to provide insights and improve data reliability, efficiency, and quality.

·         Deploy analytics programs, machine learning, and statistical methods to extract insights and optimize processes.

·         Collaborate with stakeholders to define data acquisition strategies, standards, and documentation.

·         Create monitoring capabilities for business processes and provide updates to data consumers.

·         Maintain data security, compliance, and support continuous improvement initiatives.

·         8+ years of overall IT experience with enterprise-level data engineering exposure.

·         Strong proficiency in scripting languages, primarily Python and PySpark, and experience building enterprise frameworks.

·         Hands-on experience with ETL tools (e.g., Glue, DBT) and data ingestion methodologies.

·         Expertise in data warehousing concepts and big data technologies, including EMR and Hadoop.

·         Cloud infrastructure experience (AWS, GCP, Azure) and strong SQL knowledge across relational and NoSQL databases.

·         Familiarity with data security, encryption, and compliance standards.

·         Experience with CI/CD pipelines and DevOps practices in a data engineering environment.

·         Experience in API development and building streaming platforms is a plus.

·         Strong analytical, problem-solving, and communication skills with attention to detail.

·         Competitive salary range depending on experience and location.

·         Full medical, dental, and vision coverage.

·         Incentive and recognition programs.

·         401k contributions and retirement planning support.

·         Flexible work arrangements within approved locations.

·         Opportunities for professional growth and skill development.

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, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!

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