Cloud Big-data Engineer Job at PhasorSoft Group (Starkville)

Data Engineer

Are you a Data Engineer based in Austin, Texas, who is inspired by working with ...

Location

United States , Austin

Salary:

100000.00 - 135000.00 USD / Year

Beezwax Datatools

Expiration Date

Until further notice

Requirements

4-6 years of hands-on data modeling and data engineering experience
Strong expertise in dimensional modeling and data warehousing
Database design and development experience with relational or MPP databases such as Postgres/ Oracle/ Teradata/ Vertica
Experience in design and development of custom ETL pipelines using SQL and scripting languages (Python/ Shell/ Golang)
Proficiency in advanced SQL and performance tuning
Hands on experience with Big-Data platforms like Spark, Dremio, Hadoop, MapReduce, Hive etc
Experience with Java, Scala and Python
Experience with cloud computing platforms like AWS, Google Cloud
Experience working with APIs
Ability to learn and adapt to new tools and technologies

What we offer

Competitive compensation
Retirement plan with employer matching
Excellent healthcare package with vision and dental
Support for productivity and continued learning in the forms of hardware, software, learning materials, training, and conferences

Fulltime

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

Senior Data Engineer

Microsoft Cloud Operations + Innovation (CO+I) is the engine that powers Microso...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years’ experience in business analytics, data science, data modeling, or data engineering work
OR master’s degree in computer science, Math, Software Engineering, Computer Engineering, or related field and 3+ years’ experience in business analytics, data science, data modeling, or data engineering work
Ability to meet Microsoft, customer and/or government security screening requirements
8+ years of experience in data engineering with coding and debugging skills in C#, Python, and/or SQL
Deploying solutions in Azure Services & Managing Azure Subscriptions
Understanding and knowledge about big data and writing queries with Kusto/KQL
Understanding and knowledge about extracting data via REST APIs
Strong analytical skills with a systematic and structured approach to software design
5+ years of experience in data science, analytics, or machine learning
4+ years of experience in developing solutions with Microsoft Power Platform, including Power BI, Fabric, Power Automate & M365 Dataverse

Job Responsibility

Apply modification techniques to transform raw data into compatible formats for downstream systems
Utilize software and computing tools to ensure data quality and completeness
Implement code to extract and validate raw data from upstream sources, ensuring accuracy and reliability
Writes efficient, readable, extensible code from scratch that spans multiple features/solutions
Develops technical expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects
Leverages technical proficiency of big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, continuous integration and continuous delivery (CI/CD), Docker, Delta Lake, MLflow, AML, and representational state transfer (REST) application programming interface (API) consumption/development
Acquires data necessary for successful completion of the project plan
Proactively detects changes and communicates to senior leaders
Develops usable data sets for modeling purposes
Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices

Fulltime

Applications Development Senior Group Manager

This role will be part of the Risk Data team and is a senior management level po...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong academic record, ideally with a Bachelor’s or Master’s degree in Computer Science or engineering or related technical discipline
Proven experience in enterprise application development with full stack technologies
Strong Architect and hands on technical experience in implementing large volume real time complex solutions in Big Data Platforms & Public Cloud platforms
Experience in Data architecture, strong Software development fundamentals, data structures, design patterns, object-oriented principles
Experience in design and delivery of multi-tiered applications and high performance server side components
Skills on system performance tuning, high performance, low latency, multithreading and experience with Java server side programming
Preferred experience in Handling high volumes of data and working with In-memory databases and Caching solutions
Experience of building and leading teams, ideally with a global resource profile and demonstrated ability to deliver large projects efficiently and on time
Significant experience in large Financial Services Technology services companies is expected for this position
Hands-on development, architecture and leadership experience in real-time data engineering platforms implementation

Job Responsibility

Lead the efforts in Institutional Data Platform (ICG) that span multiple businesses, products and functions
Delivery of Price Risk related Data initiatives and Capital reporting (GSIB) related deliverables
Establish strong relationships with the global business stakeholders and ensure transparency of project deliveries
Actively identify and manage risks and issues, working with disparate teams to create mitigation plans and follow-through to resolution
Adhere to all key Project Management (PMQC) & Engineering Excellence standards
Ensure timely communications to Senior Technology Management and Business Partners in Front Office, Middle Office & other Operations functions
Drive the design and development of system architecture, work with end-users of the systems, and enhance the quality of deliverables
Ensure staff follows Citi documented policy and procedures as well as maintain desktop procedures and supporting documentation for filings on a current basis and in comprehensive manner
Ensure change is managed with appropriate controls, documentation, and approvals including implementation of new and revised regulatory reporting requirements
Manage and maintain all disaster recovery plans, oversee appropriate testing, and provide permit-to-operate for new applications

What we offer

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

Principal Software Engineer

Principal Software Engineer role at Hewlett Packard Enterprise to design, develo...

Location

United States , San Jose

Salary:

148000.00 - 340500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor or Masters degree in Computer science, Computer Engineering or a related field
10+ years of experience in software engineering with a focus on Python, Go or Java
Strong understanding of RESTful API design and development
2+ years of Experience working with large scale distributed systems based on either cloud technologies or Kubernetes
2+ years of experience on event-driven technologies like Kafka and Apache Storm/Flink
2+ years of experience in Big-data technologies like Apache spark/Databricks
Proficient in working with Redis and databases like Cassandra/Datastax
Must hold U.S. citizenship

Job Responsibility

Design, develop, and test software related to the cloud-based network configuration and reporting system
Solve complex problems and designing subsystems for Mist platform
Develop software for highly scalable and fault-tolerant cloud-scale distributed applications
Develop microservices using Python, and/or Go (golang)
Develop event-driven systems using Python and Java
Develop software for AIDE's real-time data pipeline and batch processing
Develop ETL pipelines aiding in training and inference of various ML models using big-data frameworks like Apache Spark
Build metrics, monitoring and structured logging into the product
Write unit, integration and functional tests
Participate in collaborative, DevOps style, lean practices

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive benefits suite supporting physical, financial and emotional wellbeing

Fulltime

Data Scientist 2

The Industry Solutions Delivery (ISD) Engineering & Architecture Group (EAG) is ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Operations Research, or a related field
4 years of data science experience in business context
Ability to work independently, solve complex data science problems, design and code maintainable and scalable solutions, and effectively apply data science to business challenges
Hands-on software engineering experience (e.g. Python, Scikit, PyTorch, C++) with main established data science frameworks
Familiarity with building and deploying largescale AI solutions into production within a cloud environment
Experience dealing with internal and external stakeholders on large, complex projects.

Job Responsibility

Leverage data science and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with stakeholders
Acquire, prepare, and explore data through querying, visualisation, reporting techniques, and collaboration with other teams, ensuring data integrity
Apply machine learning and statistical analysis to develop models, train, optimise, and evaluate them, and communicate findings to stakeholders
Test, review, and improve models by analysing performance, incorporating feedback, and contributing to the review process
Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems
Understands big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, CI/CD, Docker, Delta Lake, MLflow, AML, and REST API consumption/development
Demonstrates a strong commitment to Responsible AI, supporting customers, partners and internal stakeholders in building trustworthy AI solutions.

Fulltime

Senior C++ Developer

VarSome.com is the world’s leading website for professional human genetics. VarS...

Location

Greece , Athens

Salary:

Not provided

Saphetor

Expiration Date

Until further notice

Requirements

At least 4 years of commercial C++ development experience, using templates, STL containers, smart pointers, memory management and multithreading
BSc and/or MSc degree in Computer Science, Engineering or Mathematics
Hands-on experience with relational databases, optimizing queries and table schemas for optimal performance
Good experience with distributed cloud-based computing and big-data systems
Familiarity with agile methodologies and the ability to adapt to a fast-paced development environment, actively taking in code reviews, scrums, technical discussions etc
Very good understanding of fundamental application design principles and object-oriented design, in order to build & maintain a large high-quality code base
Excellent written & oral communication skills in English

Job Responsibility

Develop our core C++ applications and library for importing and analyzing genetic data
Write reusable, testable, and efficient code, including unit & regression tests
Take complete ownership of projects (ranging from a few days to a month) to deliver a working end-to-end implementation, including unit tests & testing
Optimize & architect our platform for maximum speed, high availability and scalability
Maintain & improve our internal high-performance clinical annotation tools and the custom databases built, optimized for genetics
Contribute to the documentation of software architecture, design and implementation details

What we offer

A position in a fascinating healthcare growth domain, at the cutting edge of technology and research
A competitive compensation package combined with additional benefits
Endless learning opportunities, while transferring new technologies from academics to clinical practice all over the world

Fulltime

Informatica Cloud Data Governance Catalog Specialist

We are looking for an experienced Informatica Cloud Data Governance Catalog Spec...

Location

United States , Marysville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proficiency with tools like Informatica Cloud Data Governance Catalog and Cloud Data Quality
Hands-on experience in data modeling, metadata management, and large-scale data analysis
Familiarity with Collibra, Alation, and Glue Data Catalog
Strong understanding of entity-relationship modeling and data security practices
Expertise in business intelligence technologies such as Power BI and Tableau
Exceptional communication and presentation skills to effectively convey technical concepts
Analytical mindset with proven problem-solving abilities
Ability to work collaboratively as part of a team and build strong relationships with stakeholders

Job Responsibility

Create catalog quality reports to monitor and enhance data governance metrics across domains and sub-domains
Develop and showcase data governance dashboards tailored to different user roles, including Data Owners, Stewards, Engineers, and Privacy Officers
Collaborate with business and IT teams, including data stewards, catalog architects, and platform owners, to implement governance solutions
Execute profiling, sampling, and scanner setups using Informatica tools to ensure data quality
Apply expertise in metadata management, data modeling, and large-scale data analysis to support governance initiatives
Design and implement both traditional relational and modern big-data architectures based on organizational requirements
Utilize business intelligence tools such as Power BI and Tableau to create actionable insights and reports
Define compliance procedures and produce audit reports to meet regulatory requirements
Establish and support governance councils and operational frameworks using data catalog tools
Facilitate metadata ingestion and ensure adherence to data security and quality standards

What we offer

medical, vision, dental, and life and disability insurance
eligible to enroll in our company 401(k) plan

Cloud Big-data Engineer

PhasorSoft Group

Location:
United States , Starkville ▼
Dover
Minneapolis

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Additional Information:

Job Posted:
December 11, 2025

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