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Full Time Elt Jobs (NOW HIRING)

Pediatric Associates

Sr Data Engineer

Plantation, FL · On-site

$109.10K - $131K/yr

This role requires deep expertise in data analysis, data modeling, and the design of complex ELT ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Herbalife

Data Engineer III

Torrance, CA

$120K - $144.20K/yr

Design, Build, Test and migrate ETL/ELT systems and data interfaces Analyze and design source and ... Employment Type: FULL_TIME

GIRIKON, INC

Data Bricks Engineer/ Technical Lead

Dallas, TX

$101.40K - $133.50K/yr

Girikon is looking at hiring a full-time " Data Bricks Engineer/ Technical Lead " with following ... Develop and implement scalable ETL/ELT solutions to integrate data across various systems and ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113.30K - $136.10K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want ... Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of ...

GIRIKON, INC

Data Bricks Engineer/ Technical Lead

Dallas, TX

$101.40K - $133.50K/yr

Girikon is looking at hiring a full-time " Data Bricks Engineer/ Technical Lead " with following ... Develop and implement scalable ETL/ELT solutions to integrate data across various systems and ...

Photon

Sr Business Analyst /Product Manager - US

New York, NY · On-site

$138.40K - $182.70K/yr

Drive adoption of config-driven ETL/ELT pipelines and standardized data models. Stakeholder ... full time employees. This position is not available for independent contractors No applications ...

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Full Time Elt information

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$23.5K

$70.9K

$136.5K

How much do full time elt jobs pay per year?

As of Jun 1, 2026, the average yearly pay for full time elt in the United States is $70,949.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $83,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full-Time English Language Teacher (ELT), and why are they important?

To thrive as a Full-Time English Language Teacher (ELT), you need a strong command of English, effective lesson planning skills, and typically a bachelor's degree plus a recognized teaching certificate like TEFL, TESOL, or CELTA. Familiarity with language teaching platforms, digital classroom tools, and assessment systems is highly valued. Excellent communication, cultural sensitivity, and adaptability help teachers connect with diverse learners and manage classroom dynamics. These skills and qualities are crucial for delivering engaging lessons, supporting student progress, and fostering a positive learning environment.

What are some common challenges faced by full-time English Language Teachers (ELTs) and how can they be managed?

Full-time English Language Teachers often encounter challenges such as managing diverse classroom abilities, adapting lesson plans to suit various learning styles, and maintaining student engagement. Additionally, balancing administrative tasks with teaching responsibilities can be demanding. To address these challenges, ELTs frequently collaborate with colleagues to share resources and strategies, participate in professional development workshops, and utilize technology to create interactive lessons. Building strong communication with students and regularly seeking feedback also helps foster an effective learning environment.

What is a Full Time ELT?

A Full Time ELT refers to a full-time English Language Teacher, typically employed at a school, language institute, or university. Their main responsibility is to teach English to students who are non-native speakers, helping them improve their reading, writing, listening, and speaking skills. Full-time ELTs often prepare lesson plans, assess student progress, and may also participate in extracurricular activities or curriculum development. This role usually requires a bachelor's degree and a teaching qualification, such as TEFL, TESOL, or CELTA. Full-time positions often come with benefits like health insurance and paid leave.

What is the difference between Full Time Elt vs Part Time Elt?

AspectFull Time EltPart Time Elt
Work HoursTypically 35-40 hours per weekFewer hours, often less than 20 hours per week
CertificationsUsually requires TEFL/TESOL/CELTA certificationSame certifications often required, but some roles may accept less experience
Work EnvironmentFull-time employment in language schools, academies, or institutionsPart-time roles in similar settings or private tutoring
Job StabilityMore stable, with benefits and consistent scheduleLess stability, often contract-based or casual

Full Time Elt positions offer more hours, stability, and benefits, making them ideal for those seeking a consistent teaching career. Part Time Elt roles provide flexibility and are suitable for individuals balancing other commitments or seeking supplementary income.

More about Full Time Elt jobs
What are the most commonly searched types of Elt jobs? The most popular types of Elt jobs are:
What job categories do people searching Full Time Elt jobs look for? The top searched job categories for Full Time Elt jobs are:
Full Time Elt jobs near you
Infographic showing various Full Time Elt job openings in the United States as of May 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Temporary. Highlights an 100% Physical job distribution, with an average salary of $70,949 per year, or $34.1 per hour.

Sr Data Engineer

Pediatric Associates

Plantation, FL • On-site

$109.10K - $131K/yr

Full-time

Posted 18 days ago

Job description

PRIMARY FUNCTION
The Senior Data Engineer is responsible for architecting and implementing reliable, scalable ELT/ETL workflows that support enterprise-wide data needs. This role requires deep expertise in data analysis, data modeling, and the design of complex ELT pipelines that enable efficient data integration and analytics.
The Senior Data Engineer collaborates closely with cross-functional teams-including data analysts, data scientists, product managers, and business stakeholders-to define requirements, drive technical discussions, and develop high-quality data solutions. Additionally, this role is expected to clearly communicate technical concepts, translate complex data challenges into actionable business insights, and guide teams toward best-practice data engineering approaches.
ESSENTIAL DUTIES AND RESPONSIBILITIES
This list may not include all of the duties that may be assigned.
1)Design, build, and maintain scalable, reliable ELT/ETL pipelines using modern data engineering tools and frameworks.
2)Architect and optimize data models, schemas, and data platforms to support both analytical and operational workloads.
3)Design, document, and maintain enterprise-level data models (conceptual, logical, and physical) using data modeling best practices.
4)Collaborate with cross-functional teams to understand requirements, define data strategies, and deliver high-quality engineering solutions.
5)Lead and drive technical discussions, solution design, and architectural decisions across teams.
6)Implement and enforce comprehensive data quality standards, validation rules, and monitoring frameworks to ensure accuracy, consistency, completeness, and reliability across all data assets.
7)Develop efficient, well-structured SQL and complex data transformation logic to support analytics and reporting.
8)Monitor, troubleshoot, and enhance data pipelines for performance, reliability, and cost efficiency.
9)Ensure data security, compliance, and adherence to best practices across cloud and on-premise data systems.
10)Communicate complex technical topics in a clear, business-aligned manner to stakeholders at all levels.
11)Mentor and guide junior and mid-level engineers, contributing to team growth and engineering excellence.
QUALIFICATIONS
EDUCATION: Bachelor's degree in related field required. Master's degree preferred.
EXPERIENCE:
• 10+ years of experience in data engineering or a related field required.
• Expert-level proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory, Apache Spark, Glue) required.
• Proven experience architecting and maintaining large-scale ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP) required.
• Deep understanding of data modeling concepts (dimensional modeling, star schema, normalization) required.
• Hands-on experience with modern data warehousing platforms, preferably Databricks/Snowflake/Azure Synapse required.
• Experience in DevOps activities, including CI/CD integration using Databricks Asset Bundles (DABs) required.
• Strong programming skills in Python or another modern scripting language required.
KNOWLEDGE, SKILLS AND ABILITIES
• Demonstrated ability to translate complex business requirements into scalable, high-impact technical solutions.
• Excellent communication, documentation, and stakeholder engagement skills.
• Proficient in building Power BI data models and creating effective dashboards.
• Demonstrated ability to translate complex business requirements into scalable, high-impact technical solutions.
• Excellent communication, documentation, and stakeholder engagement skills.
• Proficient in building Power BI data models and creating effective dashboards.
TYPICAL WORKING CONDITIONS
• Full time remote/telework
OTHER PHYSICAL REQUIREMENTS
• Vision
• Sense of sound
• Sense of touch

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