Anblicks
Direct message the job poster from Anblicks
We are seeking a seasoned
Data Engineer
with strong proficiency in
SQL, Python, and PySpark
to support high-performance data pipelines and analytics initiatives in the
Mortgage Banking domain . 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) Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Consulting, Information Technology, and Finance Industries
IT Services and IT Consulting, IT System Data Services, and Software Development Referrals increase your chances of interviewing at Anblicks by 2x Get notified about new Data Engineer jobs in
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Data Engineer
with strong proficiency in
SQL, Python, and PySpark
to support high-performance data pipelines and analytics initiatives in the
Mortgage Banking domain . 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) Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Consulting, Information Technology, and Finance Industries
IT Services and IT Consulting, IT System Data Services, and Software Development Referrals increase your chances of interviewing at Anblicks by 2x Get notified about new Data Engineer jobs in
Dallas, TX . Dallas, TX $112,597.33-$152,810.66 2 days ago Dallas, TX $104,000.00-$130,000.00 5 days ago Irving, TX $80,000.00-$100,000.00 2 weeks ago Software Developer / Junior Software Engineer
Irving, TX $116,064.00-$171,800.00 1 week ago Data Engineer [Multiple Positions Available]
Plano, TX $175,000.00-$220,000.00 17 hours ago Dallas, TX $140,000.00-$160,000.00 1 month ago Dallas, TX $120,000.00-$130,000.00 10 hours ago Data Engineer-NY, SLC, TX, UT, Dallas, New York City , USA
Plano, TX $140,000.00-$180,000.00 4 months ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr