Sr Data Engineer Job at Robert Half (Jacksonville)

Sr Data Engineer

The purpose of the Data Engineer position is to leverage their technical experti...

Location

India , Bengaluru

Salary:

Not provided

Randstad

Expiration Date

July 03, 2026

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related field with a focus on data engineering or data analytics
Strong proficiency in programming languages such as Python, SQL, Java, or Scala for data processing and analysis
Experience with data modeling, ETL processes, data warehousing, data integration, and data pipeline development
Proficiency in relational databases (e.g., SQL, PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)
Working knowledge of cloud platforms such as Snowflake, AWS, Azure, or Google Cloud Platform for data storage and processing
Experience with data visualization tools (e.g., Power BI) to create meaningful insights from data
Understanding of data quality principles, data governance, and data validation processes
Ability to analyze complex data sets, identify trends, patterns, and insights to drive data-driven decision-making
Proficiency in troubleshooting data-related issues, identifying root causes, and implementing solutions
Familiarity with project management methodologies to contribute effectively to project planning and execution

Job Responsibility

Build pipelines using standard patterns for data pipelines and workflows utilizing Streamsets, Kestra, dbt, Git
Design and Implement data storage and processing solutions employing Snowflake
Utilize AWS services for cloud-based platform tooling infrastructure including but not limited to Lambda,ECS,MSK,RDS,EC2, Secrets Manager, ALB, Cloud Watch, Event Bridge
Utilize Terraform for AWS and Azure deployments
Leverage and integrate APIs for data access and manipulation
Write Python scripts for data common processing and automation tasks
Leverage Platform API’s and Web Applications to enforce Platform Security
Create and execute comprehensive test plans to ensure the pipelines functionality and performance
Develop unit tests, integration tests, and end-to-end tests for data pipelines and workflows
Ensure data accuracy and consistency through rigorous testing processes

What we offer

Commitment to your ongoing development, including on the job opportunities and formal programs
Inclusive parental leave entitlements for both parents
Values led culture
Flexible work options
Generous annual leave, sick leave and casual leave
Cultural and religious leave with flexible public holiday opportunities
A competitive remuneration package featuring performance based incentives with uncapped Employer Provident Fund

Fulltime

Sr Data Engineer

Amgen is seeking a Sr Data Engineer to design, develop, and support scalable ent...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s / Bachelor’s degree and 9 to 12 years of Computer Science, IT or related field experience
Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
Proficiency in data analysis tools (eg. SQL) and experience with data visualization tools
Skilled in MuleSoft API and Mulesoft integration job design and development
Excellent problem-solving skills and the ability to work with large, complex datasets
Strong understanding of data governance frameworks, tools, and best practices
Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)

Job Responsibility

Design, develop, and maintain scalable data pipelines and cloud-native data solutions for data ingestion, transformation, processing, and distribution using Databricks, Apache Spark, Airflow, and AWS technologies
Design, build, and maintain MuleSoft APIs and integration solutions leveraging API-led connectivity and enterprise integration best practices to enable robust integrations between CRM and cross-functional enterprise systems
Develop and optimize ETL/ELT processes to support large-scale structured and unstructured data processing across multiple enterprise platforms
Participate in the end-to-end delivery of data engineering solutions including design, development, testing, deployment, monitoring, and operational support
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
Build scalable and reusable data processing frameworks, components, and integration services following enterprise engineering standards and best practices
Develop and maintain data models, metadata definitions, data dictionaries, and technical documentation to ensure data consistency, accuracy, and governance compliance
Implement data validation, reconciliation, and quality control processes to ensure reliability and integrity of enterprise data assets
Optimize Spark jobs, SQL queries, APIs, and ETL pipelines for scalability, reliability, and performance
Leverage AWS cloud services to develop scalable, resilient, and secure data solutions and integration services

Fulltime

Sr Data Engineer

Roku is changing how the world watches TV. Roku is the #1 TV streaming platform ...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

Extensive SQL Skills
Proficiency in at least one scripting language, Python is required
Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures
8+ years professional experience as a data Engineer
BS in Computer Science
AI Literacy / AI growth mindset

Job Responsibility

Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
Build data pipelines that optimise on data quality and are resilient to poor quality data sources
Own the data mapping, business logic, transformations and data quality
Low level systems debugging, performance measurement & optimization on large production clusters
Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
Maintain and support existing platforms and evolve to newer technology stacks and architectures

What we offer

Global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs

Fulltime

Sr Data Engineer

The Senior Data Engineer plays a critical role in delivering strategic and opera...

Location

United States

Salary:

120000.00 - 160000.00 USD / Year

Personify Health

Expiration Date

Until further notice

Requirements

At least one AWS certification (e.g., AWS Certified Data Analytics – Specialty, Big Data – Specialty, Developer – Associate)
7+ years in data engineering or analytics engineering, with a strong focus on cloud-native architectures. Proven experience designing and operating scalable data platforms in AWS
5+ years in healthcare, insurance, or claims processing, including 5+ years working with EDI (834, 835, 837, 2222, 2223, 999), X12 file standards or HL7 standards and familiarity with HIPAA and CMS compliance
Expert-level proficiency in SQL (including pivots, window functions, and complex date calculations) and Python for data processing, transformation, and application development
Hands-on experience with orchestration tools like Airflow, containerization with Docker, and CI/CD pipelines. Strong bias for automation and continuous improvement
Proficient in consuming and transforming REST APIs and JSON data into relational models. Skilled in building robust data ingestion and transformation pipelines
Experience with JIRA, BitBucket Git, BitBucket Pipelines, and collaboration with cross-functional teams including Data Analysts, Data Scientists, Product, and Account Management
Proficient in Excel and BI tools such as Tableau, Power BI, and MicroStrategy for data analysis and reporting
Detail-oriented with a strong focus on data quality, accuracy, and performance tuning for large-scale data systems. Background in cost optimization and system reliability
Ability to mentor engineers, share technical knowledge, and communicate effectively with both technical and non-technical stakeholders. Strong documentation and systems thinking

Job Responsibility

Build data applications and processes using Python, SQL, and Django
manage and query data in PostgreSQL, Oracle, and cloud-native databases
Examine, extract, cleanse, and load data while implementing quality assurance rules and tools to ensure consistent and accurate data
Work with healthcare-specific data processes such as EDI file transfers, claims adjudication, audits, eligibility verification, and reporting workflows
Collaborate with cross-functional teams (Data Analysts, Data Scientists, Product, Reporting, Account Management) to define requirements and deliver data-driven solutions
Ensure data quality, integrity, and security through automated validation, auditing, and monitoring, with compliance to HIPAA and CMS regulations
Monitor, maintain, and tune pipeline performance
proactively troubleshoot and resolve complex data flow and system issues
Provide technical mentorship to Data Engineers, sharing expertise in data modeling, pipeline development, and troubleshooting practices
Research and propose improvements to the tech stack and data engineering processes

What we offer

Competitive base salary and benefits effective day one
Comprehensive medical and dental through our own health solutions (yes, we use what we build)
Unlimited PTO—rest and recharge time is non-negotiable
Mental health support, retirement planning, and financial protection
Professional development with clear career progression and learning budgets
Mission-driven culture where diverse perspectives drive real impact on people's health

Fulltime

Sr Data Engineer

We are looking for a full stack Azure Data Engineer to serve as the primary tech...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.

Job Responsibility

Technology Stack Ownership & Operations
Proof-of-Concept Management & Evaluation
Data Engineering & Pipeline Development
Stakeholder Partnership & Communication

Fulltime

Sr Data Engineer

The Senior Data Engineer role involves leading data architecture and modernizati...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong expertise in Azure and Databricks
Focus on data modeling and integration
Azure
Databricks
Data Modeling
Team Leadership
Client Interviews
SQL

Job Responsibility

Engage heavily with business users across North America and Europe, facilitating workshops and data discovery sessions
Drive consensus on business rules, data definitions, and data sources, especially where regional processes differ
Serve as the architectural thought leader enabling teams to transition from manual, inconsistent processes to standardized, modernized workflows
Partner closely with business analysts, data analysts, product owners, and engineering teams across multiple geographies
Architect a unified master stitched data model to replace downstream reliance on Varicent for data assembly
Lead the re‑architecture of compensation data processing—including internal and external compensation flows—into a scalable, cloud‑native Azure environment
Define patterns, frameworks, and integration strategies across Azure services (Data Factory, Databricks, Data Lake, SQL, etc.)
Evaluate and evolve the use of rules engines/ODM/Drools to externalize and modernize embedded business logic currently locked in application code
Guide decisions to shift logic and data ownership into enterprise‑owned systems rather than third‑party tools
Analyze current‑state processes (38 in NA, 9 in Europe) and identify opportunities for re‑engineering, automation, and consolidation

Sr Data Engineer

The mission of Roku's Data Engineering team is to develop a world-class big data...

Location

India , Bengaluru

Salary:

Not provided

Roku

Expiration Date

Until further notice

Requirements

Extensive SQL Skills
Proficiency in at least one scripting language, Python is required
Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc.
Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures.
Experience with AWS, GCP, Looker is a plus
Collaborate with cross-functional teams such as developers, analysts, and operations to execute deliverables
8+ years professional experience as a data Engineer
BS in Computer Science
MS in Computer Science preferred
AI Literacy / AI growth mindset

Job Responsibility

Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data warehouse
Build quality data solutions and refine existing diverse datasets to simplified data models encouraging self-service
Build data pipelines that optimise on data quality and are resilient to poor quality data sources
Own the data mapping, business logic, transformations and data quality
Low level systems debugging, performance measurement & optimization on large production clusters
Participate in architecture discussions, influence product roadmap, and take ownership and responsibility over new projects
Maintain and support existing platforms and evolve to newer technology stacks and architectures

What we offer

global access to mental health and financial wellness support and resources
Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension)
vacation and other personal time off

Fulltime

Sr Data Engineer

We are looking for a highly motivated expert Data Engineer to design and develop...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Any degree and 9 to 12 years of Computer Science, IT or related field experience
Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL, Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies
Proficiency in workflow orchestration and performance tuning on big data processing
Strong understanding of AWS services
Ability to quickly learn, adapt, and apply new technologies
Strong problem-solving and analytical skills
Excellent communication and teamwork skills
Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices

Job Responsibility

Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets
Build highly efficient data pipelines to migrate and deploy complex data across systems, with an understanding of biotech/pharma/manufacturing or related domains
Design and implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments
Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB, etc.), APIs, logs, event streams, images, PDFs, and third-party platforms
Ensure data integrity, accuracy, and consistency through rigorous quality checks and monitoring
Innovate, explore, and implement new tools and technologies to enhance efficient data processing
Stay updated with the latest design trends and techniques to ensure the best data engineering
Proactively identify and implement opportunities to automate tasks and develop reusable frameworks
Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value
Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories

What we offer

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards

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