Data Engineer

360 Technology LLC; Dallas, Northern (TX, KY); Hybrid; USD 110,000 - 140,000; Full time

Job summary

360 Technology LLC is seeking a Data Engineer to support enterprise transformation programs across our client portfolio. You will build reliable data pipelines and platform foundations to make enterprise data available for analytics, reporting, and AI.

You will collaborate with analysts, data scientists, and business teams to ensure data is usable, trusted, and well-governed, while maintaining performance, lineage, and monitoring across data workflows.

Qualifications

• Experience with SQL, Python or Scala, ETL/ELT tools, cloud data platforms, and orchestration patterns.
• Understanding of data modeling, quality controls, performance tuning, and production support.
• Ability to work across source systems, analytics teams, and platform engineering groups.

Responsibilities

• Develop ingestion, transformation, orchestration, quality checks, and data delivery pipelines.
• Work with analysts, data scientists, and business teams to make priority data usable and trusted.
• Support performance, lineage, monitoring, and operational reliability across data workflows.

Skills

SQL

Python/Scala

ETL/ELT tools

Cloud data platforms

Orchestration patterns

Data modeling

Data quality controls

Performance tuning

Production support

Cross-team collaboration

Tools

Airflow

Job description

Build reliable data pipelines and platform foundations that make enterprise data available for analytics, reporting, and AI.

360 Technology is looking for a Data Engineer to support enterprise transformation programs across our client portfolio. This role is suited for someone who can combine hands‑on delivery, clear communication, and practical problem‑solving in a consulting environment.

Responsibilities

Develop ingestion, transformation, orchestration, quality checks, and data delivery pipelines.

Work with analysts, data scientists, and business teams to make priority data usable and trusted.

Support performance, lineage, monitoring, and operational reliability across data workflows.

Qualifications

Experience with SQL, Python or Scala, ETL/ELT tools, cloud data platforms, and orchestration patterns.

Understanding of data modeling, quality controls, performance tuning, and production support.

Ability to work across source systems, analytics teams, and platform engineering groups.

Areas of impact

Data pipelines ETL and ELT Data quality Analytics platforms

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