Hadoop Engineer Job at Realign (Bellevue)

Hadoop SRE Engineer - VP

The Engineering Lead Analyst is a senior level position responsible for leading ...

Location

United States , Tampa, Florida; Irving, Texas

Salary:

113840.00 - 170760.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6-10 years of relevant experience in an Engineering role
Experience working in Financial Services or a large complex and/or global environment
Project Management experience
Comprehensive knowledge of design metrics, analytics tools, benchmarking activities and related reporting to identify best practices
Demonstrated analytic/diagnostic skills
Ability to work in a matrix environment and partner with virtual teams
Ability to work independently, multi-task, and take ownership of various parts of a project or initiative
Ability to work under pressure and manage to tight deadlines or unexpected changes in expectations or requirements
Proven track record of operational process change and improvement
Proven track record of designing highly available platforms and services supporting various types of workloads

Job Responsibility

Serve as a technology subject matter expert for internal and external stakeholders
Provide direction for all firm mandated controls and compliance initiatives
Create a technology domain roadmap for Cloudera Hadoop Platform and Hadoop on Google Cloud Platform
Ensure that all integration of functions meet business goals
Define necessary system enhancements to deploy new products and process enhancements
Recommend product customization for system integration
Identify problem causality, business impact and root causes
Exhibit knowledge of how own specialty area contributes to the business and apply knowledge of competitors, products and services
Advise or mentor junior team members
Impact the engineering function by influencing decisions through advice, counsel or facilitating services

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Data Engineer

PulsePoint Data Engineering team plays a key role in our technology company that...

Location

Salary:

Not provided

PulsePoint

Expiration Date

Until further notice

Requirements

8+ years of data engineering experience
Strong skills in and current experience with SQL and Python
Strong recent Spark experience (3+ years)
Experience working in on-prem environments
Hadoop and Hive experience
Proficiency in Linux
Strong understanding of RDBMS and query optimization
Passion for engineering and computer science around data
East Coast U.S. hours 9am-6pm EST
Notice period needs to be less than 2 months (or 2 months max)

Job Responsibility

Design, build, and maintain reliable and scalable enterprise-level distributed transactional data processing systems for scaling the existing business and supporting new business initiatives
Optimize jobs to utilize Kafka, Hadoop, Presto, Spark, and Kubernetes resources in the most efficient way
Monitor and provide transparency into data quality across systems (accuracy, consistency, completeness, etc)
Increase accessibility and effectiveness of data (work with analysts, data scientists, and developers to build/deploy tools and datasets that fit their use cases)
Collaborate within a small team with diverse technology backgrounds
Provide mentorship and guidance to junior team members

Senior Data Engineer

Senior Data Engineer – Dublin (Hybrid) Contract Role | 3 Days Onsite. We are see...

Location

Ireland , Dublin

Salary:

Not provided

Solas IT Recruitment

Expiration Date

Until further notice

Requirements

7+ years of experience as a Data Engineer working with distributed data systems
4+ years of deep Snowflake experience, including performance tuning, SQL optimization, and data modelling
Strong hands-on experience with the Hadoop ecosystem: HDFS, Hive, Impala, Spark (PySpark preferred)
Oozie, Airflow, or similar orchestration tools
Proven expertise with PySpark, Spark SQL, and large-scale data processing patterns
Experience with Databricks and Delta Lake (or equivalent big-data platforms)
Strong programming background in Python, Scala, or Java
Experience with cloud services (AWS preferred): S3, Glue, EMR, Redshift, Lambda, Athena, etc.

Job Responsibility

Build, enhance, and maintain large-scale ETL/ELT pipelines using Hadoop ecosystem tools including HDFS, Hive, Impala, and Oozie/Airflow
Develop distributed data processing solutions with PySpark, Spark SQL, Scala, or Python to support complex data transformations
Implement scalable and secure data ingestion frameworks to support both batch and streaming workloads
Work hands-on with Snowflake to design performant data models, optimize queries, and establish solid data governance practices
Collaborate on the migration and modernization of current big-data workloads to cloud-native platforms and Databricks
Tune Hadoop, Spark, and Snowflake systems for performance, storage efficiency, and reliability
Apply best practices in data modelling, partitioning strategies, and job orchestration for large datasets
Integrate metadata management, lineage tracking, and governance standards across the platform
Build automated validation frameworks to ensure accuracy, completeness, and reliability of data pipelines
Develop unit, integration, and end-to-end testing for ETL workflows using Python, Spark, and dbt testing where applicable

Data Engineering Lead

Data Engineering Lead a strategic professional who stays abreast of developments...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks
4+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization
Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)
Experienced in working with large and multiple datasets and data warehouses
Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets
Strong analytic skills and experience working with unstructured datasets
Ability to effectively use complex analytical, interpretive, and problem-solving techniques
Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira

Job Responsibility

Strategic Leadership: Define and execute the data engineering roadmap for Global Wealth Data, aligning with overall business objectives and technology strategy
Team Management: Lead, mentor, and develop a high-performing, globally distributed team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement
Architecture and Design: Oversee the design and implementation of robust and scalable data pipelines, data warehouses, and data lakes, ensuring data quality, integrity, and availability for global wealth data
Technology Selection and Implementation: Evaluate and select appropriate technologies and tools for data engineering, staying abreast of industry best practices and emerging trends specific to wealth management data
Performance Optimization: Continuously monitor and optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness, ensuring optimal access to global wealth data
Collaboration: Partner with business stakeholders, data scientists, portfolio managers, and other technology teams to understand data needs and deliver effective solutions that support investment strategies and client reporting
Data Governance: Implement and enforce data governance policies and procedures to ensure data quality, security, and compliance with relevant regulations, particularly around sensitive financial data

Fulltime

Sr Data Engineer

Resource Informatics Group, Inc. is actively seeking a skilled Senior Data Engin...

Location

United States , Irving

Salary:

Not provided

Resource Informatics Group

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields
Strong expertise in data engineering and cloud-based solutions
6+ years of experience in data engineering, architecture, and implementation of large-scale data solutions
Proficiency in designing and implementing data models, data structures, and algorithms
Advanced knowledge of SQL and NoSQL databases
Demonstrated expertise in optimizing data pipelines and improving data reliability, efficiency, and quality
Excellent problem-solving capabilities with a keen attention to detail
Strong communication and collaboration skills, with the ability to work effectively across diverse teams
Relevant certifications in cloud technologies (Azure, AWS, or GCP) advantageous
Master’s in Data Science or Computer Science or foreign equivalent, plus 6+ years of experience, OR Bachelor’s in Computer Science, Information Technology, or Electronics and Communication Engineering or foreign equivalent

Job Responsibility

Develop and execute ETL processes for data extraction, transformation, and loading into warehouses and data lakes
Architect data warehousing solutions using Azure Synapse Analytics for efficient querying and reporting
Optimize query performance, data processing speed, and resource utilization within Azure environments
Construct seamless data pipelines across Azure services utilizing Azure Data Factory, Databricks, and SQL Server Integration Services
Collaborate with stakeholders, including data scientists and analysts, to understand data requirements and deliver effective solutions
Manage large data volumes leveraging the Hadoop ecosystem for diverse source collection and loading
Design, maintain, and optimize data processing jobs using Hadoop MapReduce, Spark, and Hive, with coding in Java or Python for custom applications
Monitor job and cluster performance using tools like Ambari and custom monitoring scripts, scaling and maintaining Hadoop clusters and Azure data services
Ensure adherence to data security measures and governance standards
Integrate cross-cloud data with AWS and GCP services

Fulltime

Data Engineer

Data Engineer to analyze data engineering problems and develop, build and manage...

Location

United States , Woonsocket

Salary:

106038.00 - 140000.00 USD / Year

CVS Health

Expiration Date

Until further notice

Requirements

Master’s degree (or foreign equivalent) in Information Technology, Computer Science, Computer Information Systems, Engineering, or a related field
2 years of experience in the job offered or a related occupation
2 years of experience with CI/CD, Jenkins, GIT, or DevOps
2 years of experience programming in Python, R, or SQL
2 years of experience with Spark, Airflow, Kafka, Hbase, Pig, MySQL, or NoSQL
2 years of experience with Data warehouse technologies: Oracle, Teradata, or DB2
2 years of experience with Visualization tools, including Tableau
2 years of experience with Software development for enterprise or web applications
2 years of experience with Unit and automation testing
2 years of experience Analyzing large data sets from multiple data sources

Job Responsibility

Analyze data engineering problems
Develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows
Develop large scale data structures and pipelines to organize, collect and standardize data
Write ETL (Extract/Transform/Load) processes
Design database systems
Develop tools for real-time and offline analytic processing
Collaborate with Data Science team to transform data and integrate algorithms and models into automated processes
Test and maintain systems and troubleshoot malfunctions
Build data marts and data models to support Data Science and other internal customers
Integrate data from a variety of sources and ensure adherence to data quality and accessibility standards

What we offer

Medical benefits
Dental benefits
Vision benefits
401(k) retirement savings plan
Employee Stock Purchase Plan
Term life insurance plan
Short-term disability benefits
Long term disability benefits
Well-being programs
Education assistance

Fulltime

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years of relevant experience
Experience with 'big data' platforms such as Hadoop, Hive or Snowflake for data storage and processing
Good exposure to data modeling techniques
Design, optimization and maintenance of data models and data structures
Proficient in one or more programming languages commonly used in data engineering such as Python, PySpark
Understanding of Data Warehousing concepts
Demonstrated problem-solving and decision-making skills
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor's degree/University degree or equivalent experience

Job Responsibility

Developing high quality data products to support the Bank's regulatory requirements and data driven decision making
Serving as an example to other team members
Working closely with customers
Removing or escalating roadblocks
Contributing to business outcomes on an agile team

What we offer

Resources to meet unique needs
Empowerment to make healthy decisions
Support for managing financial well-being
Help planning for future

Fulltime

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years of relevant experience
Experience with 'big data' platforms such as Hadoop, Hive or Snowflake for data storage and processing
Good exposure to data modeling techniques
Design, optimization and maintenance of data models and data structures
Proficient in one or more programming languages commonly used in data engineering such as Python, PySpark
Understanding of Data Warehousing concepts
Demonstrated problem-solving and decision-making skills
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Bachelor's degree/University degree or equivalent experience

Job Responsibility

Developing high quality data products to support the Bank's regulatory requirements and data driven decision making
Serving as an example to other team members
Working closely with customers
Removing or escalating roadblocks
Contributing to business outcomes on an agile team

What we offer

Resources to meet unique needs
Empowerment to make healthy decisions
Support for managing financial well-being
Help planning for future

Fulltime

Hadoop Engineer

Realign

Location:
United States , Bellevue

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 19, 2026

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