Senior Data Solutions Engineer Job at Piper Companies (Kennett Square)

Senior Data Solutions Engineer

Piper Companies is currently looking for an experienced Senior Data Solutions En...

Location

United States , Charlotte

Salary:

140000.00 - 180000.00 USD / Year

Piper Companies

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Mathematics, Statistics, Economics, Management Information Systems, or a related field
Strong proficiency in SQL for querying and data transformation
Experience using Python for backend development and/or data processing
Proven experience building or operating enterprise data platforms supporting complex analytics and diverse datasets
Hands-on experience with modern data platforms such as Snowflake or Databricks
Experience working with cloud platforms, preferably Azure, including compute, storage, and security concepts
Understanding of data governance and master data management concepts
Strong communication skills with the ability to collaborate across technical and non-technical teams

Job Responsibility

Acting as Technical Lead for client-facing data analytics engagements, guiding solution design, delivery approach, and technical decision-making
Leading discovery and data assessment activities to evaluate data availability, quality, and feasibility for analytics, reporting, and data management initiatives
Designing, modeling, and onboarding new datasets into the enterprise Data Platform while ensuring alignment with platform standards and client requirements
Developing and overseeing custom analytics solutions including reports, dashboards, semantic models, queries, and views to support advanced data consumption
Defining and implementing data quality rules and validation checks beyond standard platform capabilities
Reviewing solution designs to ensure scalability, reliability, maintainability, and alignment with long-term platform strategy
Serving as the primary technical point of contact for clients, translating business needs into actionable technical solutions and managing expectations
Balancing client requests with platform integrity, security, and sustainability while representing company best interests

What we offer

Comprehensive benefits package

Fulltime

Senior Solutions Engineer – Big Data & Data Infrastructure

This is a great opportunity to be part of one of the fastest-growing infrastruct...

Location

Israel , Tel Aviv

Salary:

Not provided

VAST Data

Expiration Date

Until further notice

Requirements

2–4 years in software / solution or infrastructure engineering
2–4 years focused on building / maintaining large-scale data pipelines / storage & database solutions
Proficiency in Trino, Spark (Structured Streaming & batch) and solid working knowledge of Apache Kafka
Coding background in Python (must-have)
Deep understanding of data storage architectures including SQL, NoSQL, and HDFS
Solid grasp of DevOps practices, including containerization (Docker), orchestration (Kubernetes), and infrastructure provisioning (Terraform)
Experience with distributed systems, stream processing, and event-driven architecture
Hands-on familiarity with benchmarking and performance profiling for storage systems, databases, and analytics engines
Excellent communication skills

Job Responsibility

Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools
Implement event-driven and serverless workflows
Create technical guides, architecture docs, and demo pipelines
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark)
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads
Operate and debug object store–backed data lake infrastructure

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

Senior Presales Engineer, Unstructured Data Solutions

Our field sales professionals rely on proactive technical support during the sal...

Location

Australia , Chatswood

Salary:

Not provided

Dell

Expiration Date

Until further notice

Requirements

Strong customer-facing communication & storytelling: ability to explain complex topics clearly to technical/non‑technical audiences
delivering presentations to senior stakeholders (CIO/CDO)
Discovery, requirements analysis & POC excellence
Skilled at uncovering business drivers, structuring PoCs, defining success criteria, and demonstrating solutions that showcase customer value
5+ years in a customer‑facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure
Track record delivering modern Data & AI solutions
Experience in cloud DWH/lakehouse migrations, BI modernization, GenAI/RAG implementations, streaming analytics, or advanced analytics programs
Technical Skills
Hands-on experience with leading cloud & data platforms (Snowflake, Databricks, BigQuery, Redshift, Synapse, Cloudera) plus at least one major cloud (AWS, Azure or GCP)
Strong data architecture & engineering foundation

Job Responsibility

Build trusted relationships with customers and lead discovery to understand their goals, challenges, and technical needs.
Design and validate modern cloud architectures for data, analytics, and AI/GenAI/RAG solutions.
Create clear solution designs, proposals, and technical materials that guide customers through their Data & AI transformation.
Deliver impactful demos and PoCs that highlight value, feasibility, and business outcomes.
Communicate complex data and AI concepts in a simple, customer-friendly way to both technical and non-technical stakeholders.
Evaluate modern data and AI platforms and explain how our solutions stand out in the competitive landscape.

What we offer

Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers
Industry Leading Wellness Platform
Employee Assistance Program

Senior Engineer - Data Engineer

Position - Data Engineer

Location

India , Indore; Ahmedabad

Salary:

Not provided

Arrow Electronics

Expiration Date

Until further notice

Requirements

Experience: 4 to 8 years in software/data engineering
Proficiency in SQL, NoSQL databases (e.g., DynamoDB, MongoDB), ETL tools, and data warehousing solutions
Proficiency in Python is a must
Cloud Platforms: Azure, AWS (e.g., EC2, S3, RDS) or GCP
Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
Knowledge of data governance and security practices
Experience with DevOps practices, including CI/CD pipelines and containerization (Docker, Kubernetes)
Excellent verbal and written communication skills in English
Experience working in Agile development environments
Understanding of AI and ML concepts, frameworks (e.g., TensorFlow, PyTorch), and practical applications

Job Responsibility

Design and development of real time software and Cloud/Web/mobile based software application
Analyze domain specific technical, high level or low level requirement and modification as per end customer or system requirement
Perform software testing including unit, functional and system level requirement including manual and automated
Perform code review following coding guidelines and static code analysis & troubleshoots software problems of limited difficulty
Document technical deliverable like software specifications, design document, code commenting, test cases and test report, Release note etc. throughout the project life cycle
Develop software solutions from established programming languages or by learning new language required for specific project

Fulltime

Senior Data Engineer (Data Warehouse)

Plaud is building the next generation intelligence infrastructure and interfaces...

Location

Singapore , Singapore

Salary:

Not provided

Plaud

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in a technical field (Computer Science, Engineering or a related field
At least 3 years of experience in data warehouse development, including big data development, data warehouse modeling
Strong understanding of data warehouse architecture and principles
Proficient in at least 2 programming languages (e.g. SQL, Python, Scala, Java, Go)

Job Responsibility

Design and develop data warehouse systems, including data modeling, ETL process development, and data quality assurance
Collaborate with business teams and data analysts to understand business needs and deliver warehouse solutions
Continuously optimize data processing performance to improve platform stability and efficiency
Research emerging technologies to drive the next-generation upgrade of the data platform

What we offer

Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere

Fulltime

Senior Data Engineer - Data Platform

We are looking for a Senior Data Engineer - Data Platform to join our Data & AI ...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

More than 7 years of experience as Site Reliability Engineer, Data Ops, Data Platform Engineer or in a similar role, with a proven track record of building and maintaining complex data infrastructures
Strong proficiency in data engineering and infrastructure tools and technologies, such as stream and events processing (Kafka, PubSub, Firehose) and Kubernetes
Expertise in programming languages like Python
Familiar with cloud infrastructure and services, preferably AWS, Azure, or GCP, and have experience with infrastructure-as-code tools such as Terraform
Excellent problem-solving skills with a focus on identifying and resolving data infrastructure bottlenecks and performance issues

Job Responsibility

Design and implement a scalable and reliable data infrastructure that supports the collection, processing, storage, and analysis of large-scale datasets while pushing security and privacy best practices
Build and maintain data pipelines that efficiently extract, transform, and load data from various sources into our data warehouse
Implement automation and orchestration tools to streamline infrastructure provisioning, data workflows, reduce manual effort, and improve operational efficiency
Monitor data platform for performance and reliability, identify and troubleshoot issues, and implement proactive solutions to ensure data quality and availability
Streamline and monitor platform costs, identify optimizations and saving opportunities while collaborating with data engineers, data scientists, and other stakeholders

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

Fulltime

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

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Senior Data Solutions Engineer

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