ENH: Use MaskedEngine for numeric pyarrow dtypes
- [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [ ] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.

```
idx = pd.Index(list(range(1_000_000)), dtype="int64[pyarrow]")
idxer = list(range(1, 500_000, 10))

pr 
%timeit idx.get_indexer(idxer)
4.85 ms ± 24.4 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)

main
%timeit idx.get_indexer(idxer)
16.9 ms ± 116 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)

```

cc @mroeschke Is this roughly what you had in mind?
Nice! Yeah this is what I had in mind.  Added a whatsnew.

We should probably figure out a better way of converting to numpy when ``na_value`` is specified and compatible with the associated NumPy dtype @mroeschke do we want to get this in before the rc?