Sr. Data Engineer Job at Tech Mahindra (Las Vegas)

Sr. Data Engineer - Snowflake

Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team ...

Location

Salary:

Not provided

Data Ideology

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, data warehousing, or data architecture
3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.)
Strong SQL and Python skills, with production experience using dbt
Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.)
Prior experience in a consulting or client-facing delivery role
Excellent communication skills, with the ability to collaborate across technical and business stakeholders
SnowPro Core Certification required (or willingness to obtain upon hire)
advanced Snowflake certifications preferred

Job Responsibility

Design and build scalable, secure, and cost-effective data solutions in Snowflake
Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services
Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans
Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs)
Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management
Lead modernization and migration initiatives to move clients from legacy systems into Snowflake
Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks
Contribute to internal accelerators, frameworks, and proofs of concept
Mentor junior engineers and support knowledge sharing across the team

What we offer

Flexible Time Off Policy
Eligibility for Health Benefits
Retirement Plan with Company Match
Training and Certification Reimbursement
Utilization Based Incentive Program
Commission Incentive Program
Referral Bonuses
Work from Home

Fulltime

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our growing Quality Engineering t...

Location

Salary:

Not provided

Data Ideology

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
5+ years of experience in data engineering, data warehousing, or data architecture
Expert-level experience with Snowflake, including data modeling, performance tuning, security, and migration from legacy platforms
Hands-on experience with Azure Data Factory (ADF) for building, orchestrating, and optimizing data pipelines
Strong experience with Informatica (PowerCenter and/or IICS) for ETL/ELT development, workflow management, and performance optimization
Deep knowledge of data modeling techniques (dimensional, tabular, and modern cloud-native patterns)
Proven ability to translate business requirements into scalable, high-performance data solutions
Experience designing and supporting end-to-end data pipelines across cloud and hybrid architectures
Strong proficiency in SQL and experience optimizing large-scale analytic workloads
Experience working within SDLC frameworks, CI/CD practices, and version control

Job Responsibility

Ability to collect and understand business requirements and translate those requirements into data models, integration strategies, and implementation plans
Lead modernization and migration initiatives to move clients from legacy systems into Snowflake, ensuring functionality, performance and data integrity
Ability to work within the SDLC framework in multiple environments and understand the complexities and dependencies of the data warehouse
Optimize and troubleshoot ETL/ELT workflows, applying best practices for scheduling, orchestration, and performance tuning
Maintain documentation, architecture diagrams, and migration plans to support knowledge transfer and project tracking

What we offer

PTO Policy
Eligibility for Health Benefits
Retirement Plan
Work from Home

Fulltime

Sr Data Engineer

(Locals or Nearby resources only). You will work with technologies that include ...

Location

United States , Glendale

Salary:

Not provided

Enormous Enterprise

Expiration Date

Until further notice

Requirements

7+ years of data engineering experience developing large data pipelines
Proficiency in at least one major programming language (e.g. Python, Java, Scala)
Hands-on production environment experience with distributed processing systems such as Spark
Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query)
Experience in developing APIs with GraphQL
Advance understanding of OLTP vs OLAP environments
Candidates must work W2, no Corp 2 Corp
US Citizen, Green Card Holder, H4-EAD, TN-Visa
Airflow

Job Responsibility

Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines
Build and maintain APIs to expose data to downstream applications
Develop real-time streaming data pipelines
Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform
Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more
Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)

What we offer

3 levels of medical insurance for you and your family
Dental insurance for you and your family
401k
Overtime
Sick leave policy: accrue 1 hour for every 30 hours worked up to 48 hours

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

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our team.

Location

Salary:

Not provided

Boston Data Pro

Expiration Date

Until further notice

Requirements

Data Engineering: 8 years (Preferred)
Data Programming languages: 5 years (Preferred)
Data Developers: 5 years (Preferred)

Job Responsibility

Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction
Ensures quality of technical solutions as data moves across multiple zones and environments
Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
Ensures managed analytic assets to support the company’s strategic goals by creating and verifying data acquisition requirements and strategy
Develops, constructs, tests, and maintains architectures
Aligns architecture with business requirements and use programming language and tools
Identifies ways to improve data reliability, efficiency, and quality
Conducts research for industry and business questions
Deploys sophisticated analytics programs, machine learning, and statistical methods to efficiently implement solutions
Prepares data for predictive and prescriptive modeling and find hidden patterns using data

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our team.

Location

Salary:

Not provided

Boston Data Pro

Expiration Date

Until further notice

Requirements

Data Engineering: 8 years (Preferred)
Data Programming languages: 5 years (Preferred)
Data Developers: 5 years (Preferred)

Job Responsibility

Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction
Ensures quality of technical solutions as data moves across multiple zones and environments
Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
Ensures managed analytic assets to support the company’s strategic goals by creating and verifying data acquisition requirements and strategy
Develops, constructs, tests, and maintains architectures
Aligns architecture with business requirements and use programming language and tools
Identifies ways to improve data reliability, efficiency, and quality
Conducts research for industry and business questions
Deploys sophisticated analytics programs, machine learning, and statistical methods to efficiently implement solutions
Prepares data for predictive and prescriptive modeling and find hidden patterns using data

Sr. Network Data Center Engineer

If you live and breathe networking, virtualization, and high-availability system...

Location

United States

Salary:

150000.00 USD / Year

Corporate Tools

Expiration Date

Until further notice

Requirements

Experience with Proxmox or other hypervisors (VMware, KVM, Xen, Hyper-V)
5+ years of network engineering, data center operations, or cloud infrastructure
Experience with Ceph or SAN-based storage solutions (iSCSI, NFS, ZFS)
Experience with containers and networking
Excellent problem-solving skills and a keen eye for detail
Ability to work on projects solo or with a team
Love for learning and improving code
Strong communication and collaboration skills
Understanding of Ceph storage architecture (OSDs, MONs, MDS, RADOS, etc.)
Experience in iSCSI/NFS/ZFS SAN setups and performance tuning

Job Responsibility

Develop and design robust and scalable software solutions
Take ownership of projects from conception to deployment, ensuring timely delivery and meeting the specified requirements
Work closely with cross-functional teams, including IT, product management, and other software teams, to ensure seamless integration and alignment with business objectives
Stay updated with the latest industry trends, technologies, and best practices to bring innovative solutions to the table
Design, implement, and maintain a robust network architecture that supports Proxmox virtualization, Ceph/SAN storage, and container networking
Manage firewalls (iptables, pfSense, UFW, etc.) to secure access to virtualized environments and hosting services
Configure and optimize VLANs, subnets, and routing to ensure isolated and secure network segments for virtual machines, storage, and frontend applications
Configure and maintain VPNs, BGP, OSPF, or other routing protocols to ensure proper network redundancy and failover
Set up and maintain bridged, NAT, and VXLAN networking in Proxmox for efficient VM communication
Implement high-availability (HA) networking for Hypervisor networks and Ceph/SAN clusters

What we offer

100% employer-paid medical, dental and vision for employees
Annual review with raise option
22 days Paid Time Off accrued annually, and 4 holidays
After 3 years, PTO increases to 29 days. Employees transition to flexible time off after 5 years with the company—not accrued, not capped, take time off when you want
The 4 holidays are: New Year’s Day, Fourth of July, Thanksgiving, and Christmas Day
Paid Parental Leave
Up to 6% company matching 401(k) with no vesting period
Quarterly allowance
Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself... really, whatever
Open concept office with friendly coworkers

Fulltime

Senior Data Engineer

Our Data Engineering Team is comprised of data experts. We build world-class dat...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

A BS in Computer Science or equivalent experience with 5+ years of professional experience as a Sr. Data Engineer or in a similar role
Strong programming skills using Python
Working knowledge of relational databases and query authoring (SQL)
Experience designing data models for optimal storage and retrieval to meet product and business requirements
Experience building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools
Experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka)
Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team
Well versed in modern software development practices (Agile, TDD, CICD)

Job Responsibility

You'll partner with the product analytics and data scientist team to build the data solutions that allow them to obtain more insights from our data and use that to support important business decisions
You'll work with different stakeholders to understand their needs and architect/build the data models, data acquisition/ingestion processes and data applications to address those requirements
You'll add new sources, code business rules, and produce new metrics that support the product analysts and data scientists
You'll be the data domain expert who understand all the nitty-gritty of our products
You'll own a problem end-to-end
You'll improve data quality by using & improving internal tools/frameworks to automatically detect DQ issues

What we offer

health and wellbeing resources
paid volunteer days

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