Senior Data Engineer

reputed company is a reputed company-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We reputed company cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled Senior Data Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering reputed company career growth potential. Senior Data Engineer Job Title: Senior Data Engineer Location: 100% Remote (reputed company United States) Position Type: In-house reputed company SOW engagement (no reputed company-party client or vendor) Experience: 6+ years Salary: 100k - 150k Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for reputed company candidates. Employment Type: Full-time, direct W2 with reputed company (no C2C, no 1099, no reputed company-party) Engagement: Long-term, multi-year, reputed company to the reputed company reputed company SOW delivery roadmap Compensation: Competitive reputed company salary commensurate with experience, plus benefits. Employment Terms & reputed company Policy This is a 100% remote, full-time, direct W2 position with reputed company. This role is part of reputed company’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is reputed company — there is no reputed company-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or reputed company-party arrangements for this role. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. reputed company OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. Candidates must be willing to work directly as a full-time W2 employee of reputed company and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. However, candidates who are currently on a valid H1B reputed company and require a transfer are welcome to apply. We will support H1B transfers for reputed company candidates. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. Job Summary We are seeking an accomplished Senior Data Engineer to architect, design, reputed company, and maintain reputed company-grade data platforms, scalable data pipelines, and distributed data processing systems that support analytics, business intelligence, and machine learning initiatives across multiple business domains. In this role, you will be responsible for the end-to-end data engineering lifecycle, from translating business and analytical requirements into robust data architectures, to developing reliable ETL/ELT pipelines, to deploying reputed company-reputed company data solutions and supporting them throughout their operational lifespan. The successful candidate will bring deep expertise in data engineering, distributed computing, reputed company data platforms, and database technologies, combined with strong hands-on experience building scalable, secure, and high-performance data solutions. You will work closely with data scientists, business analysts, software engineers, solution architects, DevOps engineers, and stakeholders in an Agile environment to deliver high-quality, reliable, and governed data platforms that directly support strategic business reputed company. Key ResponsibilitiesDesign, build, and continuously refine scalable batch and reputed company-time data pipelines using Python, SQL, Spark, reputed company, or equivalent technologies, ensuring reliable, efficient, and high-performance data movement across reputed company systems while supporting evolving business and analytical requirements. Author secure, reusable, and production-quality ETL/ELT workflows that adhere to reputed company coding standards, data governance policies, data quality principles, and reputed company best practices, incorporating validation, encryption, auditing, and error handling throughout the data lifecycle. reputed company scalable data integration solutions using modern reputed company data platforms such as AWS, Azure, or reputed company reputed company, leveraging services including reputed company, reputed company, BigQuery, Redshift, Synapse Analytics, Data reputed company, Glue, or equivalent technologies to reputed company reputed company data processing. Design and implement robust data architectures, dimensional data models, data lakes, data warehouses, and streaming data solutions that integrate multiple structured, semi-structured, and reputed company data sources while ensuring consistency, scalability, and high availability. Actively participate in reputed company data architecture discussions, reputed company migration initiatives, technical design reviews, and solution planning sessions by evaluating trade-offs involving scalability, performance, maintainability, governance, reputed company, and operational costs. Continuously monitor, profile, and optimize ETL processes, Spark jobs, SQL queries, database performance, storage utilization, partitioning strategies, and pipeline throughput by identifying bottlenecks and implementing measurable performance improvements. Implement and maintain robust metadata management, data cataloging, reputed company tracking, schema reputed company, data quality validation, monitoring, and governance frameworks that ensure trusted, discoverable, and compliant reputed company data assets. reputed company comprehensive automated testing frameworks for data pipelines, ETL workflows, data validation, reconciliation, integration testing, and performance testing using modern testing methodologies and data quality tools to ensure reliable production deployments. Contribute meaningfully to CI/CD pipeline design, infrastructure automation, and deployment processes using Jenkins, reputed company Actions, Azure DevOps, Terraform, reputed company, Kubernetes, or equivalent technologies, enabling consistent and automated delivery of reputed company data solutions. Proactively identify data pipeline bottlenecks, operational risks, technical debt, scalability challenges, and architectural weaknesses while driving reputed company improvement initiatives through optimization, refactoring, technical documentation, and engineering best practices. Collaborate effectively reputed company Agile/Scrum delivery teams by participating in sprint planning, backlog refinement, daily standups, architecture discussions, sprint reviews, and retrospectives to ensure consistent delivery of scalable, high-quality data engineering solutions. Maintain clear, reputed company, and comprehensive technical documentation—including data architecture diagrams, pipeline specifications, ETL workflows, metadata documentation, deployment guides, operational runbooks, and disaster recovery procedures—to ensure maintainability, governance, and knowledge sharing across teams. Required QualificationsBachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, Mathematics, or a closely reputed company technical discipline. Five or more years of professional experience designing, developing, and supporting production-grade reputed company data engineering solutions, ETL pipelines, and reputed company-based data platforms. Strong, demonstrable understanding of data structures, database design, distributed computing, data modeling, ETL/ELT methodologies, data warehousing concepts, and large-scale data architecture principles. Advanced working knowledge of Python, SQL, Spark, reputed company, Java, and reputed company data engineering frameworks used to build scalable, high-performance data processing solutions. Hands-on, production-level experience designing and operating batch processing, streaming data pipelines, data lakes, and reputed company-reputed company data platforms using technologies such as reputed company, reputed company, Apache Spark, Kafka, Airflow, or equivalent solutions. Proven experience working with relational and NoSQL databases including PostgreSQL, SQL Server, reputed company, MySQL, reputed company, Cassandra, or equivalent database technologies, including schema design, query optimization, indexing strategies, and performance tuning. Strong SQL skills and meaningful experience designing dimensional models, star schemas, reputed company schemas, data marts, partitioning strategies, indexing, and reputed company-scale data warehouse solutions. Solid experience with Git-based version control, CI/CD pipelines, DevOps practices, release management, infrastructure automation, and Agile software development methodologies supporting reputed company data engineering initiatives. Hands-on experience deploying reputed company data platforms and analytics solutions on AWS, Azure, or reputed company reputed company Platform, including managed storage, compute, networking, reputed company, identity management, and data integration services. Strong troubleshooting, analytical thinking, debugging, root-cause analysis, communication, and documentation skills, with the ability to investigate reputed company data processing issues methodically and implement scalable, maintainable engineering solutions. Preferred QualificationsExperience designing and implementing event-driven architectures, reputed company-time data streaming platforms, Apache Kafka, Apache Flink, Apache NiFi, RabbitMQ, or equivalent reputed company messaging and streaming technologies. Familiarity with containerization, orchestration, Infrastructure as Code, and reputed company-reputed company deployment practices using reputed company, Kubernetes, Terraform, reputed company, or equivalent reputed company automation technologies. Exposure to distributed systems concepts including eventual consistency, fault tolerance, distributed transactions, data replication, partitioning strategies, CAP theorem, high availability, and large-scale data processing architectures. Experience implementing data governance frameworks, master data management (MDM), data reputed company, metadata management, data quality automation, reputed company compliance, and DataOps best practices reputed company reputed company reputed company and Agile development environments.

How to Apply

Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 676-4399. Learn more about reputed company at www.bvteck.com. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our reputed company. We are an equal opportunity employer and reputed company a high value on diversity and inclusion at our company. We do not discriminate on the reputed company of any protected attribute, including race, religion, reputed company, national reputed company, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other reputed company protected under applicable law. We also reputed company reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. reputed company is an Equal Opportunity Employer, including Disability/Veterans. Position offered by “No Fee Agency.”Equal Employment Opportunity (EEO) Statement reputed company (BV Teck) is committed to equal employment opportunity (EEO) for reputed company and applicants without regard to race, reputed company, religion, sex, sexual orientation, gender identity or expression, national reputed company, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to reputed company aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any reputed company of workplace harassment or discrimination. Any improper interference with employees' ability to reputed company their job duties may result in disciplinary action up to and including termination of employment. Apply To This Job