Data Engineer(python, Pyspark, data bricks)

4 days ago

Dallas, Texas, United States Anblicks Full time $80,000 - $140,000 per year

Job Title: Data Engineer(python, Pyspark, data bricks)

Location: Dallas, TX

Data Engineer
with strong proficiency in
SQL, Python, and PySpark
to support high-performance data pipelines and analytics initiatives. This role will focus on scalable data processing, transformation, and integration efforts that enable business insights, regulatory compliance, and operational efficiency.

Data Engineer – SQL, Python and Pyspark Expert (Onsite – Dallas, TX)

Key Responsibilities

Design, develop, and optimize
ETL/ELT pipelines
using
SQL, Python, and PySpark
for large-scale data environments

Implement scalable
data processing workflows
in distributed data platforms (e.g., Hadoop, Databricks, or Spark environments)

Partner with business stakeholders to understand and model
mortgage lifecycle data
(origination, underwriting, servicing, foreclosure, etc.)

Create and maintain
data marts, views, and reusable data components
to support downstream reporting and analytics

Ensure
data quality, consistency, security, and lineage
across all stages of data processing

Assist in
data migration and modernization efforts
to cloud-based data warehouses (e.g., Snowflake, Azure Synapse, GCP BigQuery)

Document data flows, logic, and transformation rules

Troubleshoot performance and quality issues in batch and real-time pipelines

Support compliance-related reporting (e.g., HMDA, CFPB)

Required Qualifications

6+ years
of experience in
data engineering or data development

Advanced expertise in
SQL
(joins, CTEs, optimization, partitioning, etc.)

Strong hands-on skills in
Python
for scripting, data wrangling, and automation

Proficient in
PySpark
for building distributed data pipelines and processing large volumes of structured/unstructured data

Experience working with
mortgage banking data sets
and domain knowledge is
highly preferred

Strong understanding of
data modeling
(dimensional, normalized, star schema)

Experience with cloud-based platforms (e.g.,
Azure Databricks
,
AWS EMR
,
GCP Dataproc
)

Familiarity with
ETL tools, orchestration frameworks
(e.g., Airflow, ADF, dbt)

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