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3 jobs found

Today

Data Engineer

Charles Schwab Austin, TX

Austin, TX

Today

$48 - $61/hr Full time Analytics Automation Big Data

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Job Description

Charles Schwab Technology Services is hiring a Data Engineer in Austin, TX and Southlake, TX to build and support enterprise data platforms.

Responsibilities

Design, develop, and maintain enterprise data assets, data pipelines, reporting capabilities, and business intelligence solutions for informed decision-making, regulatory reporting, and continuous improvement
Partner with business stakeholders, architects, engineers, and distributed delivery teams to convert complex requirements into scalable, high-quality solutions
Perform data integration, modeling, analysis, performance tuning, and production support while ensuring alignment with architecture standards and development practices
Provide technical guidance to junior engineers and vendor partners
Identify opportunities to simplify or reuse existing systems
Deliver reliable outcomes using analytical thinking and sound judgment

Requirements

Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience)
5+ years of professional experience in development, support, and maintenance of ETL and database applications
2+ years hands-on experience with GCP technologies: GCS, BigQuery, Dataproc
2+ years hands-on experience with IDMC (Informatica Intelligent Data Management Cloud)
2+ years of experience with Control M
Strong SQL knowledge, shell scripting, and deep understanding of relational database concepts
Comfort working with agile development techniques
Familiarity with SCM and DevOps tool suites and CI/CD best practices, including Git (GitHub, GitLab, Bitbucket, etc.) and tools such as Bamboo
Critical-thinking and strong problem-solving skills, including the ability to analyze and understand data

Technologies

GCP, GCS, BigQuery, Dataproc
IDMC (Informatica Intelligent Data Management Cloud)
Control M
SQL, shell scripting
Git, GitHub, GitLab, Bitbucket
Bamboo
SCM, CI/CD

Benefits

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance

Location: Austin, TX; Southlake, TX (onsite). Compensation: USD 48 - 61 per hourly. Experience: 5+ years.

What’s in it for you: Hybrid Work and Flexibility approach balances ongoing commitment to workplace flexibility, serving clients, and value of being together in person on a regular basis.

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1mo ago

GCP BigQuery Data Engineer

Virtues Irving, TX

Irving, TX

1mo ago Closed

$100k - $110k/yr Full time Analytics Big Data Bigdata

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

Virtues is seeking a GCP BigQuery Data Engineer to design cloud-native, scalable data platforms and build real-time ingestion pipelines on Google Cloud. This onsite role in Irving, TX focuses on event-driven streaming architectures that support near real-time analytics and enterprise reporting.

Responsibilities

Design, develop, and optimize enterprise data warehouse solutions using Google BigQuery.
Design, develop, and maintain real-time data ingestion pipelines using Apache NiFi to extract, transform, and route streaming data into Apache Kafka topics.
Build scalable event-driven streaming architectures using Apache NiFi, Apache Kafka, and Google BigQuery to enable high-throughput, fault-tolerant, low-latency processing.
Configure and optimize Apache NiFi processors for extraction, transformation, routing, filtering, schema validation, error handling, retry mechanisms, and reliable delivery to Kafka.
Develop streaming ingestion solutions that allow Google BigQuery to consume Kafka event streams and transform near real-time events into analytical tables and reporting datasets.
Design data models and implement ETL/ELT processes to move data from raw to curated and published layers.
Design, create, and manage large-scale BigQuery datasets, including temporary/permanent and internal/external tables.
Optimize BigQuery workloads using query tuning, partitioning, clustering, and cost optimization techniques to improve performance and reduce cloud costs.
Monitor, troubleshoot, and optimize streaming workloads by tuning NiFi flows, Kafka topics/partitions, and BigQuery streaming ingestion to support high availability, data integrity, minimal latency, and cost-efficient processing.
Build scalable data lake frameworks and ingestion pipelines using cloud-native GCP technologies.
Develop reporting and visualization solutions using Looker, Looker Studio (Data Studio), Connected Sheets, and other BigQuery reporting tools.
Collaborate with data architects, modelers, developers, DevOps engineers, project managers, and business stakeholders to deliver scalable enterprise analytics solutions and continuous improvements to the data platform.

Requirements

7+ years of experience in Data Engineering, Data Warehousing, or Big Data platforms.
Must-have skills: Apache NiFi and Apache Kafka.
Strong hands-on experience with Google Cloud Platform (GCP), including BigQuery, Cloud Dataflow, Pub/Sub, and Google Cloud Storage (GCS).
Hands-on experience designing and supporting real-time streaming pipelines using Apache NiFi, Apache Kafka, and Google BigQuery.
Experience using BigQuery Console/Query Editor for data management, performance tuning, and SQL development.
Strong experience designing scalable data models, ETL/ELT pipelines, data lake architectures, and enterprise data warehouse solutions.
Experience with batch and streaming data ingestion using GCP services.
Thorough understanding of BigQuery cost structure, including storage, ingestion, and query costs, with experience implementing query optimization, partitioning, clustering, and other cost optimization techniques.
Experience managing large-scale datasets, including temporary/permanent and internal/external BigQuery tables.
Experience developing reporting and visualization solutions using Looker, Looker Studio (Data Studio), and Connected Sheets.
Excellent verbal and written communication skills, with the ability to collaborate with technical teams, business stakeholders, senior management, and executive leadership.
Experience working in Agile environments and collaborating with cross-functional teams to deliver enterprise data engineering solutions.

Preferred Qualifications

Google Cloud certifications.
Experience delivering enterprise-scale analytics and cloud data solutions.

Technologies

Google BigQuery
Apache NiFi
Apache Kafka
Google Cloud Dataflow
Google Pub/Sub
SQL
ETL/ELT
Google Cloud Storage (GCS)
Looker
Looker Studio (Data Studio)
Connected Sheets
CI/CD
DevOps
Agile/Scrum
Python
Spark
Data Modeling
Data Warehousing
Data Lakes
Batch & Streaming Pipelines

Compensation and Location

Salary: USD 100,000 - 110,000 per year.

Work location: In person (Irving, TX).

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2mo ago

Senior Data Engineer

Advantage Technical Chicago, IL

Chicago, IL

2mo ago Closed

$55 - $64/hr Full time Senior Apache Airflow Big Data

This position is no longer accepting applications (closed Aug 7, 2026).

Job Description

Senior Data Engineer to design and maintain scalable data pipelines on Google Cloud Platform, focusing on BigQuery and SQL, working with analytics and data science teams in Chicago on site four days per week at an hourly rate of $55 to $64.

Responsibilities

Design, develop, and maintain high-performance data pipelines and ETL workflows
Build and optimize data models, semantic layers, and cloud-based data solutions
Develop REST APIs and support data integration initiatives
Improve pipeline performance, scalability, reliability, and data quality
Implement CI/CD processes for data products and deployments
Troubleshoot complex data engineering and ingestion issues
Document data architecture, lineage, and operational processes
Collaborate with stakeholders across IT, reporting, product, and business teams
Mentor junior data engineers and support Agile development practices

Requirements

Bachelor’s degree in Computer Science, Engineering, or related technical field
6+ years of data engineering experience for Senior-level opportunities
Experience with Google Cloud Platform (GCP), including BigQuery, Composer, Dataflow, GCS, and DataStream
Advanced SQL skills and strong Python programming experience
Experience with Airflow, Kafka, Spark, Pub/Sub, or similar technologies
Strong knowledge of data warehousing, ETL pipelines, and cloud architecture
Excellent communication and problem-solving skills

Technologies

Google Cloud Platform (GCP)
BigQuery
Composer
Dataflow
GCS
DataStream
SQL
Python
Airflow
Kafka
Spark
Pub/Sub

Benefits

Medical, dental, vision, and pet insurance
401(k) Retirement Savings Plans
Employee Assistance Program (EAP)
Commuter/Parking Accounts
People Perks
Health Savings Account (HSA)
AD&D Insurance

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