... and YARN Optimize distributed storage and compute performance for high-volume ingestion and ... stores
... and YARN Optimize distributed storage and compute performance for high-volume ingestion and ... stores
Merchandising Data Analyst
Irving, TX · On-site
Michaels Stores is an arts and crafts supplier store that offers framing, floral, art, kids' crafts, yarn, beading, and scrapbooking. Founded in 1973, the company is headquartered in Irving, USA ...
Merchandising Data Analyst
Irving, TX · On-site
Michaels Stores is an arts and crafts supplier store that offers framing, floral, art, kids' crafts, yarn, beading, and scrapbooking. Founded in 1973, the company is headquartered in Irving, USA ...
... YARN, and MapReduce. Collaborate with data engineers and data scientists to understand data ... Strong SQL skills for data extraction and analysis from Hadoop-based data stores. Experience in ...
... YARN, and MapReduce. Collaborate with data engineers and data scientists to understand data ... Strong SQL skills for data extraction and analysis from Hadoop-based data stores. Experience in ...
... YARN, and MapReduce. Collaborate with data engineers and data scientists to understand data ... Strong SQL skills for data extraction and analysis from Hadoop-based data stores. Experience in ...
... YARN, and MapReduce. Collaborate with data engineers and data scientists to understand data ... Strong SQL skills for data extraction and analysis from Hadoop-based data stores. Experience in ...
Software Engineer (AI-Native)
Austin, TX · On-site
The Userpilot dashboard: a React monorepo (Nx + Vite + Yarn Workspaces) with 50+ product domains ... stores behind them * Build AI-powered product features and the infrastructure around them ...
Software Engineer (AI-Native)
Austin, TX · On-site
The Userpilot dashboard: a React monorepo (Nx + Vite + Yarn Workspaces) with 50+ product domains ... stores behind them * Build AI-powered product features and the infrastructure around them ...
Yarn Store information
See Texas salary details
$9.85 - $10.85
0% of jobs
$10.85 - $11.85
0% of jobs
$11.85 - $12.85
2% of jobs
$12.85 - $13.84
2% of jobs
$13.84 - $14.84
2% of jobs
$14.84 - $15.84
5% of jobs
$16.26 is the 25th percentile. Wages below this are outliers.
$15.84 - $16.84
32% of jobs
The median wage is $17.22 / hr.
$16.84 - $17.84
18% of jobs
$18.50 is the 75th percentile. Wages above this are outliers.
$17.84 - $18.83
21% of jobs
$18.83 - $19.83
13% of jobs
$19.83 - $20.83
5% of jobs
$9
$17
$20
How much do yarn store jobs pay per hour?
As of Jul 29, 2026, the average hourly pay for yarn store in Texas is $17.54, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $18.80 per hour, depending on experience, location, and employer.
What is a Yarn Store job?
A Yarn Store job typically involves assisting customers in selecting yarn, knitting, and crochet supplies, as well as providing advice on projects. Responsibilities may include stocking shelves, organizing merchandise, handling sales transactions, and maintaining the store's appearance. Some positions may also involve teaching classes, managing inventory, and promoting new products. Strong customer service skills and a passion for fiber arts are often essential for this role.
What does a typical workday look like for employees in a yarn store?
A typical day in a yarn store often involves assisting customers with yarn selection, answering questions about patterns or crafting techniques, and maintaining an organized sales floor. Employees are also responsible for inventory tasks such as restocking shelves, managing product displays, and handling transactions at the register. Many yarn stores host classes or workshops, so you may help set up these events or provide guidance to participants. Working with a small, collaborative team, you'll have opportunities to share your crafting expertise and learn from others, making the environment both creative and interactive.
What are the key skills and qualifications needed to thrive in the Yarn Store position, and why are they important?
To thrive in a Yarn Store, skills in retail sales, inventory management, and a solid knowledge of different yarn types and fiber arts are fundamental. Experience with point-of-sale (POS) systems and the ability to provide basic instruction on knitting or crocheting techniques are often expected. Excellent customer service, patience, and strong communication enhance the shopping experience and foster a welcoming environment. These abilities are crucial for effectively meeting customer needs, driving sales, and building a loyal crafting community.
What are popular job titles related to Yarn Store jobs in Texas? For Yarn Store jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Yarn Store jobs in Texas look for? The top searched job categories for Yarn Store jobs in Texas are:
What cities in Texas are hiring for Yarn Store jobs? Cities in Texas with the most Yarn Store job openings:
Other
Posted 2 days ago
Job description
Big Data Database Engineer (Accumulo Specialist)
Location: Hybrid (San Antonio, TX area)
Work Model: Onsite with initial remote flexibility (2–3 month ramp period) Overview
An enterprise federal program is seeking a highly specialized Big Data Database Engineer with deep expertise in Apache Accumulo to support a mission-critical distributed data platform. This role is focused on the sustainment, optimization, security, and modernization of large-scale data environments operating across multiple classification levels.
This is a hands-on engineering role requiring true subject matter expertise in Accumulo and its supporting ecosystem—not a general database administrator. Key Responsibilities
Accumulo Engineering & Administration Administer and optimize distributed Accumulo clusters, including core services and system components
Perform advanced tuning of compactions, tablet management, and table-level configurations
Design and maintain table structures, iterators, partitioning strategies, and performance settings
Troubleshoot complex system-level issues including iterator failures, class loading issues, and runtime errors Distributed Systems Management Configure and maintain Hadoop ecosystem components including HDFS, Zookeeper, and YARN
Optimize distributed storage and compute performance for high-volume ingestion and analytics workloads
Ensure proper integration and stability between platform components Data Security & Access Control Implement and enforce fine-grained data security controls, including cell-level access restrictions
Ensure compliance with multi-classification data handling requirements
Support secure data flows across enterprise environments Backup, Recovery & Sustainment Manage backup and recovery strategies across distributed data platforms
Support operations across multiple network environments with differing classification levels
Maintain system reliability and support ongoing modernization efforts System Diagnostics & Optimization Analyze logs and performance metrics to identify and resolve ingest bottlenecks and system constraints
Diagnose dependency issues across distributed services
Partner with engineering teams to improve system performance and scalability Required Qualifications Active TS/SCI clearance or TS with SCI eligibility
Proven, hands-on experience engineering and administering Apache Accumulo in enterprise environments (required)
Strong experience with distributed systems, including HDFS, Zookeeper, and YARN
Background in Hadoop ecosystem configuration, troubleshooting, and performance tuning
Proficiency with Python and/or Java for system interaction and debugging
Ability to troubleshoot deep technical issues within distributed data platforms Preferred Qualifications Experience supporting large-scale data platforms for analytics, ingestion, or cyber-related use cases
Familiarity with mission-driven or highly secure data environments
Experience developing automation for database management, monitoring, and maintenance workflows
Exposure to Java-based application stacks that integrate with distributed data stores
Location: Hybrid (San Antonio, TX area)
Work Model: Onsite with initial remote flexibility (2–3 month ramp period) Overview
An enterprise federal program is seeking a highly specialized Big Data Database Engineer with deep expertise in Apache Accumulo to support a mission-critical distributed data platform. This role is focused on the sustainment, optimization, security, and modernization of large-scale data environments operating across multiple classification levels.
This is a hands-on engineering role requiring true subject matter expertise in Accumulo and its supporting ecosystem—not a general database administrator. Key Responsibilities
Accumulo Engineering & Administration Administer and optimize distributed Accumulo clusters, including core services and system components
Perform advanced tuning of compactions, tablet management, and table-level configurations
Design and maintain table structures, iterators, partitioning strategies, and performance settings
Troubleshoot complex system-level issues including iterator failures, class loading issues, and runtime errors Distributed Systems Management Configure and maintain Hadoop ecosystem components including HDFS, Zookeeper, and YARN
Optimize distributed storage and compute performance for high-volume ingestion and analytics workloads
Ensure proper integration and stability between platform components Data Security & Access Control Implement and enforce fine-grained data security controls, including cell-level access restrictions
Ensure compliance with multi-classification data handling requirements
Support secure data flows across enterprise environments Backup, Recovery & Sustainment Manage backup and recovery strategies across distributed data platforms
Support operations across multiple network environments with differing classification levels
Maintain system reliability and support ongoing modernization efforts System Diagnostics & Optimization Analyze logs and performance metrics to identify and resolve ingest bottlenecks and system constraints
Diagnose dependency issues across distributed services
Partner with engineering teams to improve system performance and scalability Required Qualifications Active TS/SCI clearance or TS with SCI eligibility
Proven, hands-on experience engineering and administering Apache Accumulo in enterprise environments (required)
Strong experience with distributed systems, including HDFS, Zookeeper, and YARN
Background in Hadoop ecosystem configuration, troubleshooting, and performance tuning
Proficiency with Python and/or Java for system interaction and debugging
Ability to troubleshoot deep technical issues within distributed data platforms Preferred Qualifications Experience supporting large-scale data platforms for analytics, ingestion, or cyber-related use cases
Familiarity with mission-driven or highly secure data environments
Experience developing automation for database management, monitoring, and maintenance workflows
Exposure to Java-based application stacks that integrate with distributed data stores