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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Business Value Intelligence Services - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $135,200.0 - $156,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, User Authentication, Microsoft Azure, Bash Shell, Big Data, Cloud Computing, Cloud Database, Code Review, Data as a Services, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Security, Data Systems, Data Warehousing, Dimensional Modeling, Distributed Computing Environment, Github, Apache Hadoop, Hadoop Distributed File System, Apache Hive, IBM Cognos Business Intelligence, Python (Programming Language), Unix Shell, Microsoft SQL Server, Oracle (Applications), Standard Sql, Azure Data Lake, SAP Security, SAS (Software), Server Administration, Shell Script, Software Engineering, PL-SQL, SQL Databases, Tableau (Software), Talend, Cloud-native Network Functions (CNF), Data Storage Management, Cloud Platform System, Data Ingestion, Snowflake, Apache Spark, Informatica Cloud, Data Lakes, Vba Programming Language, Data Management, Firewall Services Module, Restful APIs, Looker Analytics, Data Pipelines - **Published:** October 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=81aece37a1f0c438 ## About the Role MUST Be Local to BOSTON-MA with Valid MA State ID and we Prefer US Citizen and Green Gard as first priority and local people The ideal candidate is an expert in Administration and support of Data Services. You can clearly articulate and implement different data ingestion patterns depending on the use case. In this role, you are comfortable speaking to both business and technical stakeholders to ensure combined understanding and collaborative solutions. This role will be expected to own tasks and follow-up related to cloud data platform Design and development activities and establish well documented best practices and processes related to the Data Modernization efforts., Minimum experience/skills: 3-5 years of experience in implementing and supporting Cloud-based (AWS) data solutions. 5+ years of Cloud database platform experience such as Snowflake. 3+ years in Cloud Data services such as IICS, AWS and GitHub. 5+ years of experience in Database administration and Data Warehouse applications on AWS. Minimum two years of experience with installing and configuring applications using Cloud Technologies (AWS, MS Azure etc.) Knowledge of cloud network policies and the firewall rules Experienced in SQL skills and PL/SQL skills. Experience in Linux shell scripting, user security and server administration. Experience in data security protocol using encryption and decryption methodologies. Strong communication and organizational skills Experience working with highly sensitive health care information and familiar with HIPAA and other data privacy controls.Compose:New Message Join our innovative team as a Senior Data Engineer and lead the design, development, and deployment of scalable data solutions that empower data-driven decision-making. In this dynamic role, you will harness cutting-edge technologies to build robust data pipelines, optimize data management processes, and support advanced analytics initiatives. Your expertise will shape the foundation of our enterprise data architecture, enabling seamless integration and insightful business intelligence across diverse platforms. If you thrive in a fast-paced environment and are passionate about transforming complex data into strategic assets, this is the opportunity for you!, * Proven experience with cloud-based big data systems such as AWS (Amazon Web Services), Azure Data Lake, or similar public cloud environments. * Strong proficiency in programming languages including Java, Python, VBA, Bash (Unix shell), along with shell scripting expertise. * Deep understanding of big data technologies such as Hadoop ecosystem components (Hadoop Distributed File System - HDFS), Apache Hive, Spark, and related frameworks for distributed processing. * Expertise in designing scalable data models using dimensional modeling techniques for data warehousing projects. * Hands-on experience with SQL databases including Microsoft SQL Server, Oracle, and cloud databases; proficiency in query management and optimization. * Skilled in ETL pipeline development using tools like Informatica or Talend to automate complex workflows efficiently. * Knowledge of business intelligence tools such as Looker or equivalent platforms for creating dashboards and reports that drive strategic insights. * Familiarity with software development methodologies including Agile practices to ensure rapid delivery of high-quality solutions. * Ability to analyze complex datasets to derive actionable insights while maintaining high standards of data quality and integrity. Embark on a journey where your technical expertise fuels innovation! We're committed to fostering an environment where your skills grow alongside our mission to unlock the power of data across all facets of our organization. ## Description Administer, configure & support Cloud Database services (Snowflake). Administer, configure & support Data Platform services, Informatica Cloud (IICS), Tableau, Cognos, SAS, GitHub and MOVEit MFT. Design, implement & support cloud applications and AWS services. Install and configure software on AWS cloud services. Administer and manage internal and external requests for data applications access and permissions, while supporting data security and protection. Defines and implements data security policies, authentication, and authorization mechanisms for cloud-based platforms. Collaborates with cross-functional teams to design and implement highly scalable, highly available, and highly performant cloud data solutions. Evaluates and recommends new cloud products and services for efficient data storage and processing. Monitors the performance of cloud data services and strategizes optimization measures. Implements data management and data governance processes for cloud data. Establish regular overall system performance assessment processes and action plans. Provide excellent customer service (email, telephone, and written correspondence) to all internal and external customers. Ensure timely delivery of solutions meeting requirements and expectations, * Develop, implement, and maintain scalable ETL (Extract, Transform, Load) pipelines using tools like Informatica, Talend, and custom scripting in Python or Bash to process large volumes of data efficiently. * Design and optimize data models and schemas for data warehouses and data lakes utilizing dimensional modeling principles and best practices in SQL databases such as Microsoft SQL Server, Oracle, and cloud-based systems like Azure Data Lake and AWS. * Collaborate with cross-functional teams to integrate linked data sources and ensure consistency across big data systems including Hadoop, Apache Hive, Spark, and other distributed processing frameworks. * Manage cloud database environments on public cloud platforms such as Azure Data Lake and AWS to support scalable storage solutions for big data systems. * Develop RESTful APIs for seamless data access and integration with business intelligence tools like Looker or other visualization platforms. * Participate in agile development cycles to deliver high-quality solutions rapidly while continuously improving existing systems through code reviews, testing, and documentation. * Support model training, analysis activities, and business intelligence initiatives by enabling efficient query management and data access strategies.